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Doctoral Funding

Navigating Doctoral Funding Options

In Finland, there are no tuition fees for doctoral students, but you must finance your own living expenses. Start at university departments for funding guidance. They provide insights into paid doctoral positions and scholarships that align closely with your field of study.

EDUFI Fellowships 

EDUFI Fellowships are tailored for doctoral research in Finland. These fellowships are managed and applied by the university departments on your behalf. They offer initial funding for up to 12 months, prompting you to secure further support as needed.

Additional Resources 

Check out the Research Council of Finland and Research.fi for more funding possibilities.

For further information, contact your Finnish university department.

• PhD Study in Finland – A Guide for 2024

Written by Kirsty Smitten

Straddling northern Europe and the Scandinavian Peninsula, Finland’s striking situation and magnificent landscapes provide natural beauty and excellent research opportunities. The development of modern facilities supports an excellent higher education system that is very popular amongst international PhD students.

This page covers everything you need to know about studying for a PhD in Finland , including an overview of the higher education system, an explanation of Finnish PhDs and information on how you can successfully apply for one.

On this page

Why study a phd in finland.

Finland’s amazing scenery, safe cities and high quality of life make the country a friendly and welcoming place to spend time on a PhD. In fact, the capital of Finland, has been voted one of the safest cities in the world . On top of this the majority of Finns speak English and Finnish universities offer a large number of English-taught degree programmes.

Today Finland’s universities are rapidly developing, with a number of globally ranked institutions and policies that encourage international students to apply. Here are a few reasons why Finland could be the place for you to begin your PhD this year:

• No tuition fees – you won't pay fees for doctoral study in Finland, regardless of your nationality
• Research and development – with many PhDs including an industrial link, you may be able to apply your research skills in a working environment
• Easy access to post-graduate work – There is no restriction on working for EU, EEA and Nordic citizens in Finland, and international students from other countries can extend their visa for a year to find work
• An illuminating experience - the northern lights are visible every other clear night between September and March in Lapland, and in southern Finland 10-20 times a year

Also, don’t forget that Finland is a brilliant country to be in around Christmas time, being home to Lapland, and Father Christmas himself.

PhD life in Finland

Want to know more about life for international PhD students in Finland ? Our detailed guide covers everything from accommodation and living costs to culture and entertainment.

Where to study a PhD in Finland?

There are two-types of higher education institutions in Finland, but only one offers doctoral level degrees.

Finland’s higher education system includes the following:

• Finland's 13 universities offer PhD programmes and promote independent academic research and provide higher education based upon research
• Finland's 22 universities of applied sciences do not offer PhD programmes. They provide higher education for professional expert jobs and carry out applied research and development in activities that promote industry

As an international doctoral student you will be applying to the standard universities.

Finnish university rankings

Finland has a number of globally recognised institutions; there are eight universities ranking in the top 500 of major university league tables. These include the country’s oldest university – the University of Helsinki.

Do ranking matter for PhD study?

University rankings can help you choose a PhD project or programme, provided you know what to look at. Our guide explains how to use rankings as a prospective postgraduate.

Finnish university cities

Finland has a relatively small number of institutions, but all reside within thriving cultural hubs with plenty for international students to do.

The following are the main hubs for higher education in Finland: Helsinki , Turku , Oulu , Tampere and Jyväskylä .

Structure of a PhD in Finland

In 2005 Finnish higher education qualifications were made compatible with the Bologna Process ; as part of this framework a Finnish PhD is a third-cycle qualification.

The Bologna Process

The Bologna Process brings together a range of countries to form the European Higher Education Area (EHEA). Members of the EHEA share a common three-cycle framework that allows degrees from one country to be easily recognised within others.

The licentiate degree

In Finland there are actually two degrees available after a Masters, one is a doctorate ( tohtorin tutkinto ) and the other is a licentiate ( lisensiaatin tutkinto ).

The licentiate degree is a shorter research degree, roughly comparable to a UK MPhil . It takes two-years and is recognised as a pre-doctoral qualification. It includes the coursework from the doctoral degree and a dissertation that amounts to half the work of a PhD student.

As with a standard PhD programme you will have pass a public thesis defence in order to obtain the licentiate qualification.

A licentiate could be a good choice if you want to complete a shorter project or plan to pursue a professional - rather than academic - research career. Otherwise, you'll be better off studying a full PhD - and that's what the rest of this page is about.

Types of Finnish doctorate

There are two types of doctorate in Finland: the more common national doctoral programme and the standard research PhD.

The national doctoral programmes are designed to bring together researchers and facilities in each discipline nationwide. Each discipline within Finland has an associated doctoral programme adopted across all institutions. These programmes are typically fully funded.

If you don’t want to study within a doctoral programme, you can do a tailor-made research PhD . Similar to other countries you will propose your own research topic and pursue it independently - though you may need to find your own funding .

Programme length

The Finnish academic year begins on the 1st of August and finishes on the 31st of July .

Universities are autonomous in organising their semesters, however there are typically two: an autumn and spring semester. Some institutions will also have a third semester during summer-time, depending upon their courses.

You will study for your PhD in Finland for 4 years as a full-time student.

The Finnish PhD process

PhD students in Finland tend to be very independent, with the main focus of your doctorate being your research project , which you will start from year one.

In parallel to your research project you may be required to attend courses , seminars and conferences . All of these will be decided upon by the graduate school or your supervisor and must be related to your research.

You'll produce an original doctoral thesis during your research and this will be the main component of your final PhD assessment.

Supervision

You will typically be assigned one supervisor who is an expert in your field of study.

In addition to this it is common in Finland for PhDs in appropriate subjects to have links with industry. Therefore, you may also be advised by an instructor from outside your university, with relevant professional or enterprise experience.

Alternatively, you may be part of a joint-degree PhD programme, where your PhD will be co-supervised by an academic at a partner institution .

PhD supervision

The supervision process is an important part of a doctoral degree - wherever you study it. To learn more, read our guides to working with your supervisor and what to expect from them .

Assessment and examination

Finnish PhDs use the European Credit Transfer System (ECTS) in accordance with the Bologna Process. Your doctoral degree will be worth 240 credits in total, all of which must be obtained to gain your doctoral qualification.

You will have to complete coursework and examinations on the courses and seminars set for you in your PhD programme. In addition, you will be expected to write regular reports on your research and write papers detailing your results.

The final form of assessment for your doctoral studies is the submission and evaluation of your dissertation. There are two stages to this process:

• The preliminary exam – two experts evaluate your manuscript and produce a written statement declaring that it meets the standards set for dissertations
• The public defence – up to two external examiners debate your dissertation with you before an audience (some of whom may also contribute questions)

Your dissertation will be published and made available at least 10 days before your defence.

Finnish PhD grades

Most Finnish doctorates are graded on a pass-fail basis (you either graduate with the degree, or you don't). However, some receive an additional grade ranging from pass ( approbator ) to oustanding ( laudatur ).

Fees and funding for a PhD in Finland

Generous higher education policies make Finland a very affordable option for your PhD study abroad. There are currently no doctoral fees for any students regardless of nationality .

This is different to Finnish Bachelors and Masters qualifications where non-EU students are typically required to pay fees.

Living costs

Even though there are no tuition fees for doctoral students, the cost of living in Finland can be relatively high compared to other countries.

It is recommended you have between €700-1,250 available per month, depending on the city you choose to study in.

In addition to your living costs you will need to pay a student’s union fee to the university which ranges from €80-100 annually.

Scholarships

Although you won’t be paying tuition fees there are several scholarships out there to help fund your living costs whilst completing your PhD within Finland.

The following are available for international students:

• Finnish National Agency for Education (EDUFI) Fellowships – open to doctoral students from all countries, providing €1,900 per month for 3-12 months
• Fulbright Grants – providing €1,000-1900 per month for 9-months to US students studying abroad in Finland

University funding

Check with your institution for funding opportunities as some offer their own scholarships or provide accommodation for international students.

Employment contracts

You may be funded by your university as a doctoral student employed under a contract. This is typically applicable to students involved in national doctoral programmes.

As with any other member of staff you will receive a salary plus social security benefits. However, you will have to pay income tax.

In return for your salary you will typically be expected to assist at the university, whether this be teaching undergraduates, carrying out administrative work or demonstrating within the labs. It is best to check directly with the university what their terms of an employment contract are.

Applying for a PhD in Finland

The application process in Finland is different to other countries, as you won't typically be applying for advertised projects. Instead, most institutions now have a graduate school with multiple doctoral programmes. You will typically be applying directly to one of these programmes, in order to study for a PhD within it.

Finding a programme

If you can’t find a PhD programme that interests you, try contacting the relevant department at your chosen university to discuss other PhD options they might offer.

Entry requirements

Entry requirements To be admitted onto a PhD programme in Finland you will be required to have a Masters degree (or equivalent) from a recognised institution.

Other requirements will depend on the topic you are applying to research and the specific processes used by your university. If in doubt, check with your department.

Language requirements

The language requirements for your PhD will vary depending upon whether you choose a programme taught in English or Finnish.

For programmes taught in English you will be required to take an English language proficiency test (such as IELTS and TOEFL). There is no national test score limit, these will be set depending upon your institution, check these directly on their admissions webpage.

For courses taught in Finnish you are expected to have the required language skills before applying. You will be required to have an intermediate-advanced level qualification in the Finnish National Certificates of Language Proficiency (YKI).

Application process

You should apply directly to your university for admission to one of its doctoral programmes. It's usually a good idea to contact them in advance and discuss the opportunities they have available.

Once you have done this you can complete your application. The required documents will vary depending upon your discipline and institution, but most will need to see the following:

• Academic records – you may need to provide full academic transcript from your previous institution, as well as your degree certificates . These documents may need to be officially translated into Finnish and approved by a lawyer.
• References – you will need to provide at least two references with your application. These should be from academic members of staff who have worked with you previously.
• Cover letter – sometimes referred to as your statement of purpose (or personal statement ). This should explain why you are interested in a specific PhD programme and describe your suitability for it.

Application deadlines will vary: some universities have specific application windows, others will be happy to hear from students throughout the year.

Interviews and examinations

Applications for a Finnish PhD are often competitive, as universities don’t charge fees and will only have the resources to fund a certain number of students. Therefore, you may have to complete an interview as part of the selection process.

Interviews for international students will typically be conducted over a webchat facility such as Skype.

What happens during a PhD interview?

Your interview for a PhD in Finland will follow a fairly standard format (apart from the fact in may take place online). Our guides give advice on what happens at a PhD interview and an overview of some questions you might be asked.

Student visas for a PhD in Finland

Visa information for uk students in finland.

UK students will no longer be EU citizens from the 2021-22 academic year onwards. This means you may be considered as an international student when studying in Finland. You may be subject to different visa requirements and fee rates, unless otherwise stated.

Depending upon your nationality you may need a visa or residence permit to live in Finland whilst studying for your PhD.

EU, EEA (and Nordic) citizens

If you are from the EU, EEA you will not need a visa to enter Finland and can remain in the country for up to 90 years without registering your presence. If you are from one of the other Nordic countries (Denmark, Iceland, Norway and Sweden) the same applies, but you can remain up to six months before you need to register as a resident.

Once these periods expire you will need to register your residence with the Finnish Immigration Service ( Migri ). In addition, as your stay will exceed a year you must also register at a local police staton

Non-EU / EEA citizens

Students from other countries will need a student residence permit to study in Finland. This allows you to enter the country and remain there long enough to complete a PhD.

You should begin the application process online and then take the following materials to your nearest Finnish embassy :

• The official letter of admission from your institution
• Proof of funds (showing that you will have access to at least €6,720 per year during your degree)
• A valid passport
• Valid travel and health insurance

You can find more information on these requirements on the Migri website .

Health insurance

The Finnish Government requires all students to have valid health insurance whilst studying in Finland.

If you are from an EU or EEA country your European Health Insurance Card will suffice. Otherwise, you may need to purchase a policy that meets the following conditions:

• The excess must no exceed €300
• If your studies will take less than two years, your insurance must cover medical expenses up to €120,000.
• If your studies will take two years or more, your insurance must cover pharmaceutical expenses up to €40,000.
• Your insurance must be valid for at least one year without any breaks (and you must renew it when it runs out, assuming you will be in Finland for longer than one year).

Remember that you'll need to have arranged your health insurance before you can apply for a student residence permit.

After studying in a thriving country, with a developed higher education system designed to make you a skilled independent researcher, you will have a very strong CV for future work.

Can I work in Finland after my PhD?

Students from the EU and EEA (including other Nordic countries ) will not need a permit to seek work in Finland after they graduate.

For students from other countries there is a generous extension scheme to help you find work. You can apply to extend your residence permit by one year whilst you seek work. You must do this whilst your original student residence permit is still valid.

Your extension year will begin after your graduation. If you find work in this time you can apply for residence permit based on employment.

Find a PhD in Finland

Ready to start browsing some current PhD opportunities in Finland ? Alternatively, you can look at our other guides to PhD study abroad .

Our postgrad newsletter shares courses, funding news, stories and advice

You may also like....

What's it like to live in Finland during a PhD? Our guide covers accommodation, student living costs, working and other key information.

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Admission to doctoral training

University of oulu graduate school.

The University of Oulu stands out as one of Finland's largest and the world's northernmost universities, proudly ranking within the top 3% globally. It is home to eight faculties, 13,500 students, and nearly 3,500 employees across two campuses: Linnanmaa and Kontinkangas.

The University is committed to providing an innovative and interdisciplinary research environment, along with diverse and high-quality doctoral training. This training emphasizes the development of strong field-specific expertise, research skills, pedagogical abilities, and versatile skills for the professional world.

The University of Oulu Graduate School (UniOGS) aims to enhance the quality of doctoral education and ensure an equitable training environment for all doctoral researchers. UniOGS supports approximately 1,600 active doctoral researchers, backed by a network of qualified supervisors, a follow-up group, and a community of academic experts.

Find your own field

Each doctoral researcher at the University of Oulu is part of one of four distinct doctoral programmes, each offering a unique training environment and network. The specific content and nature of the doctoral degree are shaped by the chosen doctoral degree programme.

The University's multidisciplinary approach is reflected in its offering of education across 22 doctoral degree programmes and 51 major subjects. To explore the diverse range of degree programmes available, please visit the University's official website for detailed information and to find the programme that aligns with your academic and research interests.

Doctoral degree programmes and major subjects

Research – high-level, impactful science, are you ready to be part of the uniogs community.

• Applications are made online at Studyinfo.fi.
• Application periods are open during January 1 - April 30 and July 1 - October 31
• How to apply to doctoral education

Funding and open calls

Doctoral education at the University of Oulu is primarily funded through doctoral programmes, teaching tasks at the university, foundation grants, or research groups. You can find potential openings on the University of Oulu's open positions page. It's important to discuss funding and the funding plan with your prospective principal supervisor before applying for study rights.

While being employed as a doctoral researcher is separate from obtaining doctoral study rights, you must apply for these rights through Studyinfo portal at the start of your employment. For detailed application instructions, please refer to the Application Instructions page.

Open calls for funding of doctoral research, research visits, etc. from different foundations can be found on the Research.fi website. You can also find information on foundations on Association of Finnish Foundations website. Finnish National Agency for Education also supports international cooperation and mobility.

Funding opportunities for doctoral researchers at the University of Oulu include:

• Scholarship Fund of the University of Oulu (requires login to the intranet Patio)
• The University of Oulu Scholarship Foundation
• Tauno Tönning Foundation

Open positions

Additional information, organisation and contact information of uniogs.

Organisation and contact information of the University of Oulu Graduate School

Welcome to the campuses of the University of Oulu

The eight faculties and research units of the University of Oulu are located on two campuses.

Life in Oulu

The Oulu region is home to over 200 000 people, making it the largest urban centre in northern Scandinavia and one of the fastest growing regions in Finland.

• University rankings

The University of Oulu ranks in the top 3% of the world´s universities.

For new doctoral researchers

Information for new doctoral researchers of the University of Oulu Graduate School about starting the doctoral studies.

Thesis requirements and doctoral studies

Doctoral degree consists mainly of research, but also studies are required. Doctoral research and studies correspond to four years of full-time work, but the degree can also be achieved by working in part-time. 

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The Doctoral School and doctoral education at Tampere University

The scientific and artistic doctoral degrees are organised at Tampere University in the form of doctoral programmes. The university has 2,700 doctoral researchers and approximately 200 doctoral dissertations are defended yearly. When you want to start your doctorate at Tampere University, you submit your application to one of the 21 different doctoral programmes. Your chosen faculty and doctoral programme enables you to pursue diverse opportunities for learning and development and to develop your research skills.

After you have been accepted to Tampere University as doctoral researcher, you can make use of The Doctoral School's courses. In collaboration with the doctoral programmes, the Tampere University’s joint Doctoral School provides systematic, up-to-date and high-quality education to all researchers across faculty borders. The Doctoral School supports the development of diverse, multidisciplinary and international expertise among doctoral researchers and works to promote employability of our doctoral graduates.

In Finland, doctoral dissertations are published manuscripts, and they are publicly examined. You can participate in the public defences of our doctoral researchers also online. Read more about new findings from the press releases. Forthcoming public defences of doctoral dissertations (announcement in Finnish) Forthcoming public defences of doctoral dissertations (announcement in English) Past public defences of doctoral dissertations (announcement in English) Past public defences of doctoral dissertations (announcement in Finnish)

Doctoral education pilot opens at Tampere University

Tampere University will recruit 106 fully funded PhD candidates for a three-year term in calls that open in spring and autumn 2024. The posts are part of the national doctoral education pilot programme.

Learn more about our Doctoral Programmes

The Doctoral Programmes of Tampere University offer doctoral education in accordance with the research and education strategies of Tampere University, and the focus areas and guidelines of each faculty. More information about the profiles of our doctoral programmes and how to apply is available on the programme-specific webpages.

Get to know our doctoral programmes and find their contact information

Read about the admission to doctoral studies

Find out more on specialty training in medicine

Get to know The Doctoral School's courses and events

The courses and resources offered by The Doctoral School will help you identify and develop essential skills related to research, research methodologies and research ethics. You can select courses from over 50 offered each year. We also host many events, which support our doctoral researchers goals and networking.

Study Guide for the Doctoral School's joint courses for all doctoral researchers

Find out more about our events at The Doctoral School

What is The Doctoral School?

The Doctoral School offers English- and Finnish-taught courses both online and in classroom. Our courses and events help you gain experience on multidisciplinary and international teamwork while making effective progress towards your degree. The Doctoral School is an active participant in national and international doctoral education networks. We monitor the feedback and employment rate of our graduates to develop our doctoral education further.

Doctorate holders are multifaceted experts

Collaboration between the Doctoral School and faculty-based doctoral programmes provides an excellent basis for you and our 2,700 doctoral researchers to develop their academic expertise and excellence. Tampere University focuses both on theoretical and applied sciences. We can offer you education that is readily transferable also to working life outside the academia.

Watch our doctoral researchers tell you about their experiences

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The doctoral school staff.

Pirjo Nikander

Research Director

tutkijakoulu

Doctoral School

Jenni Hokka

tutkijakoulutus

Henna Luoma-Halkola

Liisa Ahlava

Doctoral Education

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Doctoral programmes

How to apply for doctoral studies.

Find out what is required of applicants and what can our doctoral studies offer!

Aalto Doctoral Programme in Arts, Design and Architecture Aalto Doctoral Programme in Business, Economics and Finance Aalto Doctoral Programme in Chemical Engineering Aalto Doctoral Programme in Electrical Engineering Aalto Doctoral Programme in Engineering Aalto Doctoral Programme in Science

Our doctoral studies

Our doctoral students pursue the degrees of

Doctor of Arts (Art and Design) Doctor of Science (Architecture) Doctor of Science (Economics and Business Administration) Doctor of Science (Technology)

The target study time is four years of full-time studies.

Doctoral curricula (aalto.fi)

Management of doctoral education at Aalto University

Information on how doctoral education is lead and organised and links to related regulations

Research fields and supervising professors

The research fields of the School of Business are called major subjects.

Research fields and supervising professors at ARTS Majors and supervising professors at BIZ Research fields and supervising professors at CHEM Research fields and supervising professors at ELEC Research fields and supervising professors at ENG Research fields and supervising professors at SCI

Doctoral education services

We support doctoral students, supervising professors, thesis advisors and doctoral programme directors in matters related to doctoral studies.

Doctoral page index

Index of all aalto.fi pages about doctoral education

• Published: 4.5.2018
• Updated: 26.6.2024

🚀 Autumn call is now open – apply by September 9! 🚀

Call for Doctoral Students in Artificial Intelligence

The Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) is looking for new PhD students to work in fundamental AI and machine learning research and in five application areas. Come do a PhD tackling challenging research questions in a network that fosters industry and multidisciplinary collaboration!

about | research areas | what we offer | what we look for | how to apply | faq

About the program

The Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) launched in 2024 to build a world-class PhD program with quality supervision, mobility, and multi-disciplinarity as integral parts. The program is a joint effort of ten Finnish universities and will educate 100 new PhDs in artificial intelligence research. Finland’s Ministry of Education and Culture  has granted 25.5 million EUR to support the program.

The first AI-DOC call in spring 2024 was extremely successful with the first cohort of 77 students selected from that call. In the autumn call, we looking for PhD students for the remaining 23 positions to join AI-DOC program. In addition, many of the supervisors taking part in the call are also looking to recruit PhD student with their own funding from this call.

The PhD students joining the program will benefit from:

Ability to do fully-funded, curiosity-driven research with high-quality supervision from experienced researchers

Multidisciplinary environment with experts both in fundamental machine learning research as well as several application areas

Built-in collaboration opportunities with industry

Support for international mobility periods and links to top international partners, through e.g., ELLIS AI network of excellence

Possibility to attend summer schools, research seminars, workshops and networking events

Access to high-end infrastructure, career training and support services

Research areas

We are looking for prospective PhD students to work in the following research areas .

Fundamental AI

Fundamental AI methods are the core of the FCAI research activities and the cornerstone in all application areas. Fundamental AI encompasses probabilistic AI for verifiable and uncertainty-aware model building, simulation-based inference for efficient and interpretable reasoning capabilities, data-efficient deep learning, privacy-preserving and secure AI, interactive AI for collaborative AI tools, autonomous AI, statistics, and decision-making. Widely applicable goals of the fundamental AI are AI-assisted decision-making, design and modeling.

Keywords : Artificial Intelligence, Causal Inference, Collaborative AI and human modeling, Machine Learning, Statistics

Supervisors in Fundamental AI

Some of the supervisors have already recruited a PhD student for the AI-DOC program from the spring call and hence cannot recruit another AI-DOC PhD student from the autumn call (marked with the notion “ (PhD student from the spring call)” ). You can still express your interest in working with them, as many are still looking for PhD students outside the AI-DOC program and can make offers with their own funding from this autumn call.

Luigi Acerbi , University of Helsinki – Machine Learning, Bayesian Optimization, Computational Neuroscience, Probabilistic Inference, Decision-Making (PhD student from the spring call)

Antti Airola , University of Turku – Machine Learning, Data Analytics, Health Technology (PhD student from the spring call)

Dominik Baumann , Aalto University – Control Theory, Robotics, Machine Learning, Multi-Agent Systems (PhD student from the spring call)

Corinna Coupette , Aalto University – Graphs, Networks, Legal Data Science, Responsible AI, Data-Centric AI

Stéphane Deny , Aalto University – AI & Neuroscience (PhD student from the spring call)

Mohammed Elmusrati , University of Vaasa – Wireless Communication, Machine Learning, Game Theory, Uncertainty Analysis, AI and ML in Bioinformatics

Frank Emmert-Streib , Tampere University – Data Science, Artificial Intelligence, Network Science, Computational Biology, Natural Language Processing

Pasi Fränti , University of Eastern Finland – Clustering, Location-Based Services, Image Compression, Machine Learning, Data Mining

Moncef Gabbouj , Tampere University – Machine Learning, Artificial Intelligence, Signal Processing, Image Processing, Video Communication

Vikas Garg , Aalto University – Machine Learning (PhD student from the spring call)

Dorota Glowacka , University of Helsinki – Interactive Information Retrieval, Machine Learning, Exploratory Search, User Modelling

Christian Guckelsberger , Aalto University – Computational Creativity, Artificial Intelligence, Human-Computer Interaction, Videogame AI (PhD student from the spring call)

Ville Hautamäki , University of Eastern Finland – Speaker Recognition, Language Recognition, Machine Learning, Computational Biology (PhD student from the spring call)

Janne Heikkilä , University of Oulu – Computer Vision, Machine Vision, Pattern Recognition (PhD student from the spring call)

Jukka Heikkonen , University of Turku – Machine Learning, Data Analysis, Autonomous Systems, Machine Vision, GIS Applications

Keijo Heljanko , University of Helsinki – Parallel and Distributed Systems, Big Data, Data Science, Model Checking

Antti Honkela , University of Helsinki – Machine Learning, Differential Privacy, Bayesian Inference, Bioinformatics

Pan Hui , University of Helsinki – Ubiquitous Computing, Mobile Computing, Augmented Reality, Data Science (PhD student from the spring call)

Aapo Hyvärinen , University of Helsinki – Machine Learning, Computational Neuroscience

Perttu Hämäläinen , Aalto University – Game Design, Human-Computer Interaction, Physically Based Animation & Control, Machine Learning, VR and AR (PhD student from the spring call)

Giulio Jacucci , University of Helsinki – Human-Computer Interaction (PhD student from the spring call)

Tomi Janhunen , Tampere University – Artificial Intelligence, Knowledge Representation, Answer Set Programming, Boolean Optimization

Alexander Jung , Aalto University – Machine Learning, Artificial Intelligence, Convex Optimization, Reinforcement Learning

Matti Järvisalo , University of Helsinki – Automated Reasoning, Optimization, Knowledge Representation, Graphical Models (PhD student from the spring call)

Juho Kannala , Aalto University – Computer Vision, Machine Learning

Juha Karvanen , University of Jyväskylä – Causality, Missing Data, Study Design (PhD student from the spring call)

Samuel Kaski , Aalto University – Probabilistic Machine Learning, Human-AI Interaction, Simulation-Based Inference, Computational Medicine (PhD student from the spring call)

Tomi Kinnunen , University of Eastern Finland – Speech, Speaker Recognition, Voice Conversion, Biometrics, Anti-Spoofing (PhD student from the spring call)

Arto Klami , University of Helsinki – Machine Learning, Bayesian Statistics, Artificial Intelligence (PhD student from the spring call)

Timo Knuutila , University of Turku – Machine Learning, Combinatorial Optimization, Formal Languages and Automata

Mikko Koivisto , University of Helsinki – Algorithms, Artificial Intelligence, Computational Statistics, Machine Learning

Juha Kontinen , University of Helsinki – Mathematical Logic, Logic in Computer Science, Finite Model Theory

Tomasz Kucner , Aalto University – Mapping, Dynamic Mapping, Chronorobotics, Localisation

Janne Kujala , University of Turku – Statistics

Ville Kyrki , Aalto University – Robotics, Machine Learning, Computer Vision

Jorma Laaksonen , Aalto University – Pattern Recognition, Machine Learning, Neural Networks, Computer Vision, Media Analysis

Leo Lahti , University of Turku – Data Science and Complex Systems (PhD student from the spring call)

Jaakko Lehtinen , Aalto University – Computer Graphics, Computer Vision, Machine Learning

Lasse Leskelä , Aalto University – High-Dimensional Statistics, Clustering, Network Science

Harri Lähdesmäki , Aalto University – Computational Biology, Machine Learning, Deep Generative Models, Bioinformatics, Artificial Intelligence, Probabilistic Modeling (PhD student from the spring call)

Pekka Marttinen , Aalto University – Statistical Machine Learning, Computational Biology

Michael Mathioudakis , University of Helsinki – Algorithms for Big Data, ML Model Management (PhD student from the spring call)

Kaisa Miettinen , University of Jyväskylä – Multiobjective Optimization and Decision Support

Pauli Miettinen , University of Eastern Finland – Computer Science, Data Mining (PhD student from the spring call)

Tommi Mikkonen , University of Jyväskylä – Software Engineering, Software Architecture, Web Programming

Marko Mäkelä, University of Turku – Optimization, Convex and Nonconvex Analysis, Nonsmooth Optimization, Multiobjective Optimization, Bundle Methods

Klaus Nordhausen , University of Helsinki – Multivariate Statistics, Robust and Nonparametric Methods, Blind Source Separation

Petteri Nurmi , University of Helsinki – Ubiquitous Computing, Mobile Sensing, Distributed Computing, Internet of Things

Jukka K. Nurminen , University of Helsinki – Practice of AI, Quantum Software, Mobile Systems, Energy-Efficiency

Henri Nyberg , University of Turku – Econometrics, Statistics, Time Series Analysis, Empirical Macroeconomics, Empirical Finance

Antti Oulasvirta , Aalto University – Human-Computer Interaction, Computational Modeling of Behavior

Tapio Pahikkala , University of Turku – Machine Learning, Pattern Recognition, Computational Intelligence, Data analysis (PhD student from the spring call)

Joni Pajarinen , Aalto University – Reinforcement Learning, Robotics, Machine Learning

Samuli Pekkola , University of Jyväskylä – Information Systems

Jaakko Peltonen , Tampere University - Statistical Machine Learning, Exploratory Data Analytics, Dimensionality Reduction, Visualization, Natural Language Processing, Information Retrieval, Game Culture Research, Ethical Artificial Intelligence

Ion Petre , University of Turku – Computational Systems Biology, Network Science, Machine Learning, Theory of Computing (PhD student from the spring call)

Simon Puglisi , University of Helsinki – Algorithms, Data Structures, Pattern Matching, Data Compression (PhD student from the spring call)

Kai Puolamäki , University of Helsinki – Data Mining, Machine Learning, Artificial Intelligence, Atmospheric Sciences

Ilkka Pölönen , University of Jyväskylä – Hyperspectral Imaging, Machine Learning, Mathematical Modelling, Applied Mathematics, Computer Science

Esa Rahtu , Tampere University – Computer Vision, Image Understanding, Machine Learning

Jenni Raitoharju , University of Jyväskylä – Machine Learning, Computer Vision, Environmental Monitoring (PhD student from the spring call)

Teemu Roos , University of Helsinki – Machine Learning

Laura Ruotsalainen , University of Helsinki – Navigation, Computer Vision (PhD student from the spring call)

Ahti Salo , Aalto University – Operations Research, Decision Analysis, Risk Analysis, Foresight, Multiple Criteria Decision Making

Mikko Salo , University of Jyväskylä – Mathematical Analysis, Geometry and Applications

Mikko Sillanpää , University of Oulu – Statistical/Quantitave Genetics, Bayesian Statistics, Variable Selection, MCMC, Network Estimation (PhD student from the spring call)

Arno Solin , Aalto University – Machine Learning, Gaussian Processes, Sensor Fusion, Generative Modelling (PhD student from the spring call)

Xiang Su , University of Helsinki – Mobile Computing, Digital twins, Distributed systems, Smart agriculture

Simo Särkkä , Aalto University – Multi-Sensor Data Fusion, Bayesian Filtering and Smoothing, Machine Learning, Medical Technology, AI for Health

Sara Taskinen , University of Jyväskylä – Statistics (PhD student from the spring call)

Nikolaj Tatti , University of Helsinki – Data Mining, Statistics

Santtu Tikka , University of Jyväskylä – Causal Inference

Hannu Toivonen , University of Helsinki – Computer Science, Data Science, Computational Creativity, Artificial Intelligence

Jarno Vanhatalo , University of Helsinki – Gaussian Process, Bayesian Modeling, Environmental Sciences, Ecology, Spatial Statistics

Aki Vehtari , Aalto University – Bayesian Analysis, Bayesian Statistics, Bayesian Workflow, Gaussian processes

Matti Vihola , University of Jyväskylä – Computational Statistics and Applied Probability

Joni Virta , University of Turku – Dimension Reduction

Jouko Väänänen , University of Helsinki – Mathematical logic

Robin Welsch , Aalto University – Engineering Psychology, AR/VR, Social interaction, Human-Computer Interaction, Human-AI interaction (PhD student from the spring call)

Martha Zaidan , University of Helsinki – Artificial Intelligence, Data Sciences, Condition Health Monitoring, Sensing Technologies (PhD student from the spring call)

Bo Zhao , Aalto University – Machine Learning, Data-Centric AI, Data-Efficient Learning (PhD student from the spring call)

Guoying Zhao , University of Oulu – Affective Computing, Artificial Intelligence, Computer Vision, Pattern Recognition (PhD student from the spring call)

Indre Zliobaite , University of Helsinki – Data Science, Concept Drift, Palaeobiology, Macroecology

AI in Communications and Signal Processing

The area covers a wide range of advanced methods in communications and distributed intelligence technologies, statistical methods in signal processing, and analysis of images, video, speech, audio and array signals. 

The methodologies can be applied in various layers of communications systems from applications to the radio connectivity with distributed intelligence that is an integral part of next generation communication and computing systems targeting to solve issues related to ultra densification of infrastructure, devices and people, and to guarantee secure, low latency and reliable use of ICT resources using advanced AI methods.

This research area also includes acquiring, processing, analyzing and understanding digital images, video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner, 3D point clouds from LiDaR sensors, or medical scanning devices, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions, using models constructed with the aid of geometry, physics, statistics, and learning theory.

Keywords : Array signal processing, Computer vision, Edge intelligence, Perception, Sensors, Wireless communications

Supervisors in AI in Communications and Signal Processing

Onel Alcaraz Lopez , Univeristy of Oulu – Wireless communications

Sergey Andreev , Tampere University – Intelligent IoT, Mobile Communications, Heterogeneous Networking

Mehdi Bennis , University of Oulu – Semantic communication, Resilient communication, Edge AI, Embodied AI

Miguel Bordallo Lopez , University of Oulu – AI, Computer Vision, Mobile, Face Analysis, Real-Time Image Processing

Karen Eguiazarian , Tampere University – Image Processing, Image Restoration, Computational Imaging, Sparse Representations

Filip Elvander , Aalto University – Statistical Signal Processing, Spectral Estimation, Optimal Transport, Sparse Modeling (PhD student from the spring call)

Alessandro Foi , Tampere University – Imaging, Signal Processing, Noise, Denoising, Applied Statistics

Atanas Gotchev , Tampere University – Immersive Imaging, 3D Imaging, Light Field Imaging, Quality Assessment, Computational Optics

Erkki Harjula , University of Oulu – Edge Computing, IoT, Medical ICT, AI, ML

Markku Juntti , University of Oulu – Wireless Communications, Signal Processing

Joni Kämäräinen , Tampere University – Computer Vision, Robot Vision, Robot Learning, Robotics

Visa Koivunen , Aalto University – Signal Processing, Wireless Communication, Radar, Statistics, Machine Learning

Antti Laaksonen , University of Helsinki – Programming, Algorithms

Kjell Lemström , University of Helsinki – Music Information Retrieval, Algorithms, Learning Analytics (PhD student from the spring call)

Simona Lohan , Tampere University – Wireless Localization, Tracking and Navigation, Signal Processing for Wireless Communications, Wearable Computing (PhD student from the spring call)

Petri Mähönen , Aalto University – Networked Systems

Mika Mäntylä , University of Helsinki – Software Testing, Software Maintenance, Software Operations, AIOps, Log Analysis

Esa Ollila , Aalto University – High-Dimensional Statistics, Data Science, Statistical Signal Processing (PhD student from the spring call)

Otso Ovaskainen , University of Jyväskylä – Statistical Ecology

Susanna Pirttikangas , University of Oulu – Situation Awareness, Edge Intelligence, Artificial Intelligence, Activity Recognition, Ubiquitous Computing

Archontis Politis , Tampere University – Virtual Acoustics, Acoustical Signal Processing, Spatial Sound, 3D-audio, Acoustic Scene Analysis

Gopika Premsankar , Aalto University – Edge Intelligence, Sustainability, Optimization, AI/ML for Network Management

Nandana Rajatheva , University of Oulu – 6G, AI/ML for PHY & RAN, Sensing & Automation, Channel Coding (PhD student from the spring call)

Sumudu Samarakoon , University of Oulu – Game Theory, Machine Learning, Small Cells, V2X

Stephan Sigg , Aalto University – Remote Healthcare, Human-AI Teaming, Gesture and Activity Recognition, Usable Security, RF Sensing and mmWave Radar Sensing, Ambient Intelligence, Mobile and Ubiquitous Computing (PhD student from the spring call)

Bo Tan , Tampere University – Wireless Communications, Radar, Intelligent Machines, Healthcare

Sasu Tarkoma , University of Helsinki – Internet Technology, Mobile Computing, Data Science, Middleware

Antti Tölli , University of Oulu – Wireless communications, Signal processing, Information theory

Vishnu Unnikrishnan , Tampere University – Microelectronic Circuits and Systems, Energy-Efficient Digital/Mixed-Signal Hardware Accelerators for Integrated AI

Mikko Valkama , Tampere University – Wireless Communications, Radio Systems, Signal Processing

Tuomas Virtanen , Tampere University – Machine Listening, Audio Signal Processing, Audio

Sergiy Vorobyov , Aalto University – Statistical Signal Processing, Convex Optimization, Tensor Decomposition, Radar, Communications

Stefan Werner , Aalto University – Statistical signal processing, Distributed and federated machine learning, Privacy-preserving learning, Wireless communication

Risto Wichman , Aalto University – Wireless communications, Signal processing

Yu Xiao , Aalto University – Augmented/Virtual Reality, Wearable Sensing, Video analytic, Edge/Fog Computing, Smart Manufacturing (PhD student from the spring call)

AI in Health

The health and wellbeing field holds high potential to profit from advances in AI. Applications range from personalized care and precision medicine to preventive care and to process optimization. Increasing availability of large amounts of multi-source data combined with novel AI paradigms give huge opportunities. Challenges are how to extract valid actionable knowledge from all that data, how to develop AI-based solutions that are trustworthy, fit into healthcare processes, and that have an actual impact.

Keywords : Biomedical Image and Signal analysis; Multi-modal Health Data Analysis; Predictive, Preventive, Personalized, Participatory Healthcare, Trustworthy AI, Healthcare Processes

Supervisors in AI in Health

Tero Aittokallio , University of Helsinki – Systems Medicine

Neslihan Bayramoglu, University of Oulu – Computer Vision, Machine Learning, Medical AI, Bioimage Analysis, Medical Image Analysis

Oscar Brück , University of Helsinki – Computer Vision, Medical Data Analysis, Data Harmonization, Hematology

Ping Chen , University of Helsinki – Medical System Biology, Methodology, RNA Biology, Immunometabolism

Ben Cowley , University of Helsinki – High Performance Cognition, Cognitive Science, Psychophysiology, Neuroscience Flow

Vittorio Fortino , University of Eastern Finland – Bioinformatics, Omics Data Analytics, Machine Learning and Artificial intelligence

Andrea Ganna , University of Helsinki – Health Data Science, Human Genetics

Dario Greco , Tampere University – NanoSafety, Toxicogenomics, Predictive Toxicology, Computational Toxicology, Bioinformatics

Sampsa Hautaniemi , Universty of Helsinki – Bioinformatics, Cancer Research, Drug Resistance

Jari Hyttinen , Tampere University – Biomedical Engineering, In-Silico Modeling, Biophysics, Bioelectronics, 3D Bioimaging

Guillaume Jacquemet , Åbo Akademi University – Cell Migration, Microscopy, Image Analysis

Mohieddin Jafari , University of Helsinki – Proteomics, Systems Biology, Mass Spectrometry, Bioinformatics, Biological Data Mining

Anne Juppo , University of Helsinki – Industrial Pharmacy

Iiro Jääskeläinen , Aalto University – Cognitive Neuroscience, Neuroimaging, Psychology, Social Neuroscience (PhD student from the spring call)

Matti Kaisti , University of Turku – Health Technology, Sensors, Data Analysis (PhD student from the spring call)

Nina Kaminen-Ahola , University of Helsinki – Environmental Epigenetics, Prenatal Alcohol Exposure, Infertility, ART, IVF

Kimmo Kaski , Aalto University – Computational Science, Statistical Physics, Complex Systems & Networks, Computational Social Science, Data Science & AI

Marja Laasonen , University of Eastern Finland – Logopedics, Neuropsychology

Xin Lai , Tampere University – Systems Biology, Systems Medicine, Non-coding RNA

Marja-Leena Linne , Tampere University – Biomedicine (PhD student from the spring call)

Qing Liu , University of Oulu – Computer Vision, Medical Image Processing (PhD student from the spring call)

Helike Lõhelaid , University of Helsinki – Biochemistry, Molecular Biology, Neuroscience

Inkeri Lokki , University of Helsinki – Molecular Biology, Immunology, Placentology, Genetics

Tuomas Mirtti , University of Helsinki – Biomedicine

Ville Mustonen , University of Helsinki – Bioinformatics, Computational Biology, Evolution

Matti Nykter , Tampere University – Computational Biology, Cancer Genomics, Bioinformatics (PhD student from the spring call)

Lassi Paavolainen , University of Helsinki – Image-Based Profiling, Deep Learning, Bioimage Informatics, High-Content Analysis

Satu Palva , University of Helsinki – MEG, EEG, Systems Neuroscience, Cognitive Neuroscience

Lauri Parkkonen , Aalto University – Neuroscience, Neuroimaging, Neurotechnology, Physics, Computer Science (PhD student from the spring call)

Markku Partinen , University of Helsinki – Sleep Research, Traffic Medicine, Narcolepsy, Sleep Apnea, Insomnia

Matti Pirinen , University of Helsinki – Statistical Genetics, Statistics

Esa Pitkänen , University of Helsinki – Machine Learning, Cancer Genetics, Computational Biology

Antti Rannikko , University of Helsinki – Prostate Cancer

Tomi Rantamäki , University of Helsinki – Rapid-Acting Antidepressants, Psychiatry, Synaptic Plasticity, Translational Neuroscience, Pharmacology

Hanna Renvall , Aalto University – Translational Neuroimaging (PhD student from the spring call)

Samuli Ripatti , University of Helsinki – Human Genetics, Biostatistics

Marco Savarese , University of Helsinki – Genetics

Tapio Seppänen , University of Oulu – Biomedical Signal Processing

Juha Sinisalo , University of Helsinki – Genetics, Developmental biology, Physiology

Jing Tang , University of Helsinki – Network Pharmacology, Systems Medicine, Medical Bioinformatics, Drug Repositioning

Ziaurrehman Tanoli , University of Helsinki –Drug Repurposing, Chemoinformatics, Personalized Medicine

Sergei Tarasov , University of Helsinki – Evolutionary Biology, Systematics, Comparative Phylogenetics, Coleoptera, Scarabaeinaei

Aleksei Tiulpin , University of Oulu – Machine Learning in Medicine, Deep Learning, Bayesian Inference (PhD student from the spring call)

Nelson Totah , University of Helsinki – Neurophysiology, Prefrontal Cortex, Neuromodulator, Attention, Learning

Esko Ukkonen , University of Helsinki – Combinatorial pattern matching, Design and analysis of algorithms, Machine learning, Computational biology

Mark van Gils , Tampere University – Health Data Analysis, Biomedical Engineering, Machine Learning, Decision Support, Artificial

Sampsa Vanhatalo , University of Helsinki – Infant Neurophysiology - Recording and Analysis Methods (PhD student from the spring call)

Simo Vanni , University of Helsinki – Visual Coding, Neurophysiology of Vision, Neurology of Vision, Functional Magnetic Resonance Imaging, Spiking Network Modeling

Tommi Vatanen , University of Helsinki – Human Microbiome, Bioinformatics, Machine Learning, Computational Systems Biology, Bayesian Statistics (PhD student from the spring call)

Ilpo Vattulainen , University of Helsinki – Biological Physics, Biophysics, Soft Matter, Life Science, Computational Science (PhD student from the spring call)

Antti Vehkaoja , Tampere University – Physiological Measurements, Wearable Sensors, Unobtrusive Monitoring, HRV

AI in Engineering

Industries are currently employing AI methods in numerous research and development tasks. Examples include product design, predictive maintenance, and combining physical models with data-based methods. There is a great potential also in replacing laboratory development and experiments with virtual laboratory-type approaches. Research topics include:

AI methods in industrial research and development, including:

AI for product design and optimization, combining physic-based and data-driven models. 

AI for improving industrial operations: cyber security, anomaly detection in industrial time series and predictive maintenance. 

Methods supporting AI in industrial deployments, including on-device learning and federated learning on edge devices.

Virtual laboratories for experimentation and cost-effective product design and validation.

AI methods for autonomous functions in land, sea, air and space vehicles and machines. These range from pilot assistance, collision avoidance and navigation systems to full-mission autopilots. 

Keywords : Autonomous systems, Energy systems, Machine automation, Manufacturing, Materials, Mechanical engineering, Robotics

Supervisors in AI in Engineering

Pekka Abrahamsson , Tampere University – Software Engineering, Information Systems

Riku Ala-Laurinaho , Aalto University – Digital Twins, Industrial Internet, Interoperability

Jerker Björkqvist , Åbo Akademi University

Shankar Deka , Aalto University – Nonlinear Systems, Data-Driven Techniques, Stability Theory, Robust Control, Telerobotic Surgery, Agricultural Robotics, Machine Learning, Optimal Control

Flyura Djurabekova , University of Helsinki – Materials, Extreme Environments, Dislocations, Radiation Effects, Multiscale Modelling

Tapio Elomaa , Tampere University – Machine Learning, Data Mining, Data Structures and Algorithms, Artificial Intelligence, Pattern Recognition

Arkke Johannes Eskola , University of Helsinki – Reaction Kinetics, Combustion Chemistry, Atmospheric Chemistry

Muhammad Faheem , University of Vaasa – Artificial Intelligence, Blockchain, Bigdata Cybersecurity, Smart Grid Communications

Adam Foster , Aalto University – Theoretical Solid State Physics, Surfaces, Interfaces, SPM

Benjamin Frandsen , University of Helsinki – Physical Chemistry, Spectroscopy, Infrared Spectroscopy, UV-Vis Spectroscopy, Experimental Spectroscopy, Theoretical Chemistry, Quantum Chemistry, Exploratory Research, Planetary Science, Venus, Atmosphere, Spectroscopy, Quantum Chemistry, Air-Water Interface, Aerosol Science

Merja Heinäniemi , University of Eastern Finland – Computational Biology, Biomedicine, Systems Biology, Molecular Biology

David Hästbacka , Tampere University – Software Engineering, Industrial Informatics, Software Architecture, Industrial Control, Smart Energy Systems

Theo Kurten , University of Helsinki – Chemical Sciences, Physical Sciences, Environmental Sciences

Heidi Kuusniemi , University of Vaasa / FGI – Navigation Technologies, GNSS, Sensor Fusion, IoT, Communications Engineering

Tommi Kärkkäinen , University of Jyväskylä – Machine Learning, Data Mining, Learning Analytics, Educational Technology (PhD student from the spring call)

Jose Lado , Aalto University – Machine Learning Methods to Engineer Quantum Materials

Sebastien Lafond , Åbo Akademi University – Parallel Systems, Energy Efficiency, Dataflow Languages, Scheduling Algorithms

Antti Lajunen , University of Helsinki – Farming Robots, Autonomous Machinery, Virtual Simulation, Electric Powertrains

Jose Lastra , Tampere University – Automation, Robotics, Industrial Informatics, Artificial Intelligence, CPS (PhD student from the spring call)

Lasse Laurson , Tampere University – Statistical Physics, Complex Systems, Materials Physics, Computational Physics

Junhe Lian , Aalto University – Plasticity, Damage, Ductile Fracture, Hydrogen Embrittlement, Additive Manufacturing

Johan Lilius , Åbo Akademi University – Energy Efficient Software, Autonomous Navigation Algorithms, Verification and Validation, Embedded Deep Neural Computing

Peter Liljeroth , Aalto University – Graphene, Scanning Tunneling Microscopy, Monolayers, Nanoribbon

Weiwei Lin , Aalto University – Bridge Engineering, Structural Engineering

Andreas Lundell , Åbo Akademi University – Global Optimization, Convex and Nonconvex MINLP, Mathematical Programming, MINLP

Kai Nordlund , University of Helsinki – Physics, Nanoscience

Mohamed Noureldin , Aalto University – AI Applications on Structural Engineering, LCA-LCC of Structures, Performance Based Design

Risto Ojala , Aalto University – Computer Vision, Intelligent Transportation

Thomas Olsson , Tampere University – Social Technologies, User Experience, CSCW, Social Matching, Critical Design

Luigia Petre , Åbo Akademi University – Formal Methods, Network Modelling and Analysis, Non-Functional Properties

Ivan Porres , Åbo Akademi University – Trustworthy Software & AI, Computer Science, Software Engineering

Matti Rissanen , University of Helsinki – Atmospheric Chemistry, Combustion Chemistry, Aerosol Formation

Juha Röning , University of Oulu – Computer Vision, Robotics, Intelligent Signal Analysis, Software Security

Mika Salmi , Aalto University – Additive and Digital Manufacturing, 3D Printing, Medical, Sustainability in Manufacturing

Kostas Sarakinos , University of Helsinki – Thin Films, In Situ Diagnostics, Surface Science, Growth Simulations, HiPIMS

Olli Seppänen , Aalto University – Construction, Management

Vivek Sharma , University of Helsinki – Computational Biophysics, Molecular Dynamics, Quantum Chemistry, Biological Energy Conversion

Amit Shukla , University of Vaasa – Computational Intelligence, Decision Making Under Uncertainty, Industry 4.0, Anomaly Detection, Transfer Learning

Marcelo Godoy Simoes , University of Vaasa – Power Electronics, Renewable Energy, Artificial Intelligence, Smart-Grid

Wojciech Solowski , Aalto University – Soil Mechanics, Material Point Method, Geotechnical Engineering

Luc St. Pierre , Aalto University – Mechanics of Materials, Cellular and Lattice Materials, Sandwich Panels, Composites

Konstantinos Stefanidis , Tampere University – Data Management

Jaakko Suutala , University of Oulu – Machine Learning, Signal Processing, Probabilistic Modelling, Artificial intelligence, Data Science

Kari Systä , Tampere University – Software Engineering

Zachary Taylor , Aalto University – Nanoengineering

Vagan Terzian, University of Jyväskylä – Computational intelligence, Machine (Deep) Learning, Intelligent Agents, Semantic Web, Data Science, Cyber-Security, Smart Cyber-Physical Systems, Industry 4.0.

Milica Todorovic , University of Turku – First Principles Materials Simulations, Artificial Intelligence

Dragos Truscan , Åbo Akademi University – Software Testing, Model-Based Testing

Jukka Vanhala , Tampere University – Electronics

Hanna Vehkamäki , University of Helsinki – Atmospheric Particle, Formation, Nucleation Molecular Clusters (PhD student from the spring call)

Jari Vepsäläinen , Aalto University – Mechatronics, Simulation Models, Energy Efficient Systems, Generative Design, Machine Learning

Raine Viitala , Aalto University – Measurement, Rotors, Roundness (PhD student from the spring call)

Valeriy Vyatkin , Aalto University – Automation, Software, Engineering, Artificial Intelligence

Petri Välisuo , University of Vaasa – Automation, Optimisation, Energy Technology, Image Processing (PhD student from the spring call)

Marina Waldén , Åbo Akademi University – Formal Methods, Distributed Systems

Quan Zhou , Aalto University – Robotic Instruments

AI in Language and Speech Technology

The area covers all aspects of natural language processing (NLP), a field of research dealing with computational analysis and generation of human language. NLP is a broad field which spans from highly technical research on machine learning techniques for written and spoken language data, through the myriad of individual tasks such as machine translation and information retrieval, to digital linguistics. The field is reliant on very large datasets and high performance computing, offering exciting software engineering and algorithmic challenges. Finland has a long tradition of top-notch NLP research, especially in the multilingual setting and, recently, large language model development.

Keywords : Foundation models, Human language technology, Natural Language Processing, NLP, Large language models, Speech recognition, Speech generation, Machine translation, Crosslingual models

Supervisors in AI in Language and Speech Technology

Paavo Alku , Aalto University – Analysis and Parameterization of Speech Production, Statistical Parametric Speech Synthesis, Spectral Modelling of Speech, Speech-Based Biomarking of Human Health, Cerebral Processing of Speech

Tom Bäckström , Aalto University – Privacy and Security in Speech Communication, Speech Enhancement, Acoustic Sensor Networks, Speech and Audio Coding (PhD student from the spring call)

Mathias Creutz , University of Helsinki – Natural Language Processing

Filip Ginter , University of Turku – Language Technology, Natural Language Processing

Maija Hirvonen , Tampere University – Translation, Interpreting, Multimodality, Accessibility, Audio Description

Lauri Juvela , Aalto University – Generative Deep Learning, Speech Synthesis, Machine Learning for Audiospeech, Signal Processing Audio Effects

Mikko Kurimo , Aalto University – Speech Recognition, Machine Learning, Language Modeling (PhD student from the spring call)

Veronika Laippala , University of Turku – Computational Linguistics, Text Linguistics, Corpus Linguistics, Digital Discourse Analysis

Jyrki Nummenmaa, Tampere University – Text Mining, Text Analysis, Question Answering, Combining Rule-Based and Machine Learning in NLP

Mourad Oussalah , University of Oulu – Social Media, Data Mining, Robotics, Data Fusion, Computer Vision

Tapio Salakoski , University of Turku – Artificial Intelligence, Language Technology, Machine Learning, Bio and Health Informatics, Learning Analytics and Technology, Digital Humanities

Nitin Sawhney , Aalto University – Human-Computer Interaction, Human-Centred Design, Participatory Action Research, Interaction Design and Children, Voice and Audio

Jörg Tiedemann , University of Helsinki – Computational Linguistics, Machine Translation, Machine Learning, Natural Language Processing, Information Retrieval (PhD student from the spring call)

Martti Vainio , University of Helsinki – Phonetics, Speech Technology, Speech Synthesis, Prosody, Phonology

Roman Yangarber , University of Helsinki – NLP, Deep learning

AI in Society and Business

The area examines the societal, ethical, and economic dimensions of AI, including trustworthy and societally acceptable AI as well as the consequences of the uses of AI. It brings together AI research with social sciences and humanities to gain in-depth understanding of AI’s role in organizations, society, business, and the economy. It includes uses of AI in education and education about AI. The area fosters interdisciplinarity to reinforce cross-cutting themes such as sustainability, ethics, equity, trust, and social responsibility.

Keywords : AI in business operations, AI in society, AI and Education, AI Ethics

Supervisors in AI in Society and Business

Ilkka Arminen , University of Helsinki – User-Centered Technology Studies

Kirsimarja Blomqvist , LUT University – Trust, Knowledge, Collaborative innovation, New Forms of Organizing, Digital Platforms

Tero Erkkilä , University of Helsinki – Governance, Public Institutions, Accountability, Global Policy Indicators

Daria Gritsenko , University of Helsinki – Policy Studies, Algorithmic Governance, Environmental Policy, Social Data Science

Jukka Hallikas , LUT University – Purchasing and Supply Management, Supply Chain Management, Operations Management, Risk Management in Operations

Juho Hamari , Tampere University – Gamification, Game Studies, Esports, Metaverse, VR

Johanna Hautala , University of Vaasa – Knowledge, Creativity, Technology, Space, Mobility (PhD student from the spring call)

Katri Havu , University of Helsinki – EU Law in Member State Courts, Damages Liability Under EU Law, Civil Law Issues Related to Artificial Intelligence / Robotics

Markku Heikkilä , Åbo Akademi University – Real Options, Valuation, Fuzzy Logic, Business Analytics, Portfolio Selection

Antero Holmila , University of Jyväskylä – Postwar Studies, US and British Foreign Policy, the Holocaust, Wartime, Comparative History

Jan Holström , Aalto University – Design Science, Digital Construction, Direct Digital Manufacturing, Intelligent products, Operations Management

Risto Hotulainen , University of Helsinki – Educational Assessment

Juho Kanniainen , Tampere University – Data Science, Financial Data Analytics, Time Series Analysis, Networks (PhD student from the spring call)

Kimmo Karhu , Aalto University –Digitalization, Platform Strategy, Technology Innovation Management

Siavash Khajavi , Aalto University – Operations Management, Digital Twins, Additive Manufacturing, Blockchain Technology

Marko Kohtamäki , University of Vaasa – Servitization, Strategy-as-Practice, Product-Service Systems, Business Model Dynamic Capabilities

Ida Koivisto , University of Helsinki – Administrative Law

Kathrin Komp-Leukkunen , LUT University – Work and Retirement, Welfare Policies, Social Sustainability, Population Ageing, Research Methods (PhD student from the spring call)

Päivi Korpisaari , University of Helsinki – Information Law

Raine Koskimaa , University of Jyväskylä – Digital Culture, Digital Literature, Game Cultures, Game Studies, Narratology

Riikka Koulu , University of Helsinki – Law, Media and Communications

Ari Kuismin , University of Jyväskylä – Organizational Space, Organization Theory, Communication, Entrepreneurship

Sanna Kumpulainen , Tampere University – Task-Based Information Access, Real-World Settings, Information Behavior

Krista Lagus , University of Helsinki – Social Data Science, Language Modeling, Cognition, Machine Learning, Text Exploration

Raimo Lahti , University of Helsinki – Criminal Law and Other Criminal Sciences, Medical Law and Biolaw

Asko Lehmuskallio , Tampere University – Visual Studies, Media Anthropology, Digital Culture, Media Theory

Susanna Lindroos-Hovinheimo , University of Helsinki – Legal Theory, EU-law, Constitutional Law, Political Theory

Yong Liu , Aalto University – AI Robot, Business Analytics, Information Systems Research, Business Intelligence and Tourism Management

Jukka Luoma , Aalto University – Competitive Dynamics, Analytics, Behavioral Strategy (PhD student from the spring call)

Pasi Luukka , LUT University – Data Analysis, Feature Selection, Classification, Fuzzy Systems, Multicriteria Decision Making (PhD student from the spring call)

Linda Mannila , University of Helsinki – Digital Competence, Computational Thinking, AI-literacy, K-12 education, Teacher Training

Markku Maula , Aalto University – Venture Capital and Private Equity, Corporate Venturing, Corporate Venture Capital, Cross-Border Venture Capital, M&A

József Mezei, Åbo Akademi University

Jukka Mähönen , University of Helsinki – Cooperative Law, Corporate Law, Law and Economics, Accounting Law, Sustainability Law

Matti Mäntymäki, University of Turku – Responsible AI, AI Governance, Blockchain, Social Media

Matti Nelimarkka , University of Helsinki – Political Science, Human-Computer Interaction, Social Computing, Technology and Society

Pasi Nevalainen , University of Jyväskylä – Business History, State-Owned Companies, Institutional Change

Kaarina Nikunen , Tampere University – Datafication, Solidarity, Affectivity, Social Media, Migration

Arto Ojala, University of Vaasa – International Business, Entrepreneurship, Digitalization, Digital Platfroms, Space Business

Esko Penttinen , Aalto University – Automation, Artificial Intelligence, Governance, eXtensible Business Reporting Language (XBRL)

Taina Pihlajarinne , University of Helsinki – Intellectual Property Law, Digitalisation, Sustainability

Paavo Pylkkänen , University of Helsinki – Philosophy of Science, Metaphysics, Philosophy of Mind, Philosophy of Physics, Consciousness, Philosophy of Cognitive Science, De-Broglie Bohm Theory, Information Studies

Risto Rajala , Aalto University – Service Engineering and Management, Information Systems, Innovation Management, Organizational and Strategic Change, Technology Entrepreneurship

Mikko Ranta , University of Vaasa – Accounting, Machine Learning, Data Analytics, ESG (PhD student from the spring call)

Samuli Reijula , University of Helsinki – Philosophy of Science, Cognitive Science

Paavo Ritala , LUT University – Innovation Ecosystems, Coopetition, Business Models, Digital Strategy, Sustainable Business (PhD student from the spring call)

Rebekah Rousi , University of Vaasa – User Experience, Cognitive Science, Usability, Communication, Philosophy

Lauri Saarinen , Aalto University – Operations Management, Operations Strategy, Supply Chain Management, Time-Based Competition, Manufacturing Innovation

Joni Salminen , University of Vaasa – Personas, Digital Marketing, Startups, Platforms

Jens Schmidt , Aalto University – Cognitive Micro-Foundations of Strategy, Strategic Factor Markets, Entrepreneurial Strategy, Demand-Side Strategy, Corporate Strategy in Platform Ecosystems, Ecosystem Emergence, Ecosystem Leadership

Karoliina Snell , University of Helsinki – Science and Technology Studies, Sociology, Biomedicine, Health Data, Innovation Policy

Veikko Surakka , Tampere University – Human-Computer Interaction, Interaction, Psychophysiology, Human Machine Interaction, User Experience, Neuropsychology, Neuroscience, Social Media, Psychotherapy, Prototyping

Karoliina Talvitie-Lamberg , University of Jyväskylä – Datafication, Digital Disconnection, Journalism, Social Bots, Vulnerability (PhD student from the spring call)

Matti Tedre , University of Eastern Finland – Philosophy of Computer Science, Computer Science Education Research, AI Education

Mikko Tolonen , University of Helsinki – Digital Humanities, Intellectual History, History of Ideas, History of Philosophy, Book History, Computational History, Computational Humanities, Data Science

Aaro Tupasela , University of Helsinki – Sociology, Medical biotechnology

Markku Turunen , Tampere University – Human-Computer Interaction, Multimodal Interaction, Pervasive Computing, Mobile Application, Spoken Interaction

Minna van Gerven , University of Helsinki – Comparative Welfare States and Systems, Social Security, Reconciliation of Work and Family, Digitalization and Automation, Adoption, Use and Acceptance of Technologies, Policy Process, Collaborative Governance (PhD student from the spring call)

Ward van Zoonen , University of Jyväskylä – Emergent Work, Datafication, Technology Use, Employee Wellbeing

Lauri Viitasaari , Aalto University – Stochastic Partial Differential Equations, Mathematical Statistics, Finance (PhD student from the spring call)

Mikko Villi , University of Jyväskylä – Media, Digital Culture, Online Journalism

Mika Viljanen , University of Turku – Law, Private Law, Private Law Theory, Torts, Contracts, Contracting, Financial Regulation, Banking Regulation

Kaisa Väänänen , Tampere University – Human-Centered AI, AI Design and Evaluation Methods, User Experience with AI, Interactive and Ubiquitous AI Applications, AI Systems for Social and Environmental Sustainability (PhD student from the spring call)

Anna-Mari Wallenberg , University of Helsinki – Cognitive Science

Nannan Xi , Tampere University – Gamification, AR/VR, Metaverse, Information Systems, Consumer Decision Making (PhD student from the spring call)

Petri Ylikoski , University of Helsinki – Science and Technology Studies, Social Theory, Sociological Theory, Analytical Sociology, Philosophy of Science, Philosophy of Biology, Philosophy of the Social Science, Theory of Explanation, Theory of Evidence

What we offer

Research environment.

The AI-DOC program is hosted by the Finnish Center for Artificial Intelligence FCAI , an international research hub and one of the Research Council of Finland’s Flagships, hubs of top-level research and impact. FCAI’s research spearheads are ranked in the top-3 in Europe and in the top-30 globally and it’s built on a long track record of pioneering machine learning research in Finland. FCAI is also tightly-knit part of ELLIS , the pan-European AI network of excellence, hosting the local ELLIS Unit and coordinating ELISE , a European Network of Artificial Intelligence Excellence Centres.

Partner universities

Ten universities take part in the AI-DOC program (in alphabetical order):  Aalto University , LUT University , Tampere University , University of Eastern Finland , University of Helsinki , University of Jyväskylä , University of Oulu , University of Turku , University of Vaasa , Åbo Akademi University . In the autumn call, there are positions still left in all universities except Tampere University, University of Vaasa, and University of Eastern Finland.  

The AI-DOC program has a broad range of possibilities to work with companies and academic partners. Jointly designed PhD topics and joint supervision (e.g., between research areas, universities, and together with industry) will provide PhD students with a large pool of expertise and guidance. Industrial collaboration is possible in all the research areas. Potential topics for industry collaboration include 1) AI for radio systems (e.g., 6G), network optimization, and cloud technologies, 2) AI for pharmaceutical development, imaging, and personalized medicine, 3) AI for smart systems, software development, cybersecurity, sensing, energy management, production processes, manufacturing, and predictive maintenance, 4) generative AI, LLMs, and speech technologies, and 5) trustworthy AI in public services, fintech and business operations. All students are offered entrepreneurship training, a connection to the local startup ecosystem, and access to a company fair to bridge post-PhD career options. Our international academic collaborations provide top-quality mobility possibilities, e.g., 6-month research exchanges and access to summer schools and workshops.

Potential collaborators include

The PhD students will have access to excellent computing facilities through our local and national computational services. CSC – IT Center for Science has partnered with the doctoral program, further facilitating our researchers’ access to high-end computing infrastructure, including Europe’s fastest supercomputer LUMI .

The doctoral program offers a flying start to the PhD studies by integrating the PhD topics into ongoing research and providing peer support and help in getting the first scientific paper out quickly. The program organizes summer schools and research seminars that further support learning from peers and building networks. We also offer help for international students to settle in Finland, e.g., with language courses and support with accessing practical information.

We are strongly committed to offering everyone an inclusive and non-discriminating working environment and warmly welcome qualified candidates from all backgrounds to apply and particularly encourage applications from women and other groups underrepresented in the field. 

The student experience

Doctoral researcher Sophie Wharrie

“I have a master’s degree in applied math from Australia. When I co-founded a startup, I realized there are gaps in making machine learning work in healthcare. This motivated me to switch to the scientific side and pursue a PhD at FCAI, where professors like Samuel Kaski have expertise in this exact area. The experience has been very interdisciplinary, from developing machine learning methods to pursuing collaborations across the medical domain. Throughout I’ve been a core member of Women in AI Finland , organizing events, mentoring and broadening my network.”

Read more about Sophie’s ongoing project, Artificial Intelligence for Personalised Medicine for Real, here .

Job details

In the autumn call, we looking for PhD students for the 23 positions in the AI-DOC program. The accepted candidates are expected to start in the beginning of January 2025.

The positions are based at one of the partner universities of the AI-DOC program. In the autumn call, there are positions still left in all partner universities except for Tampere University, University of Vaasa, and University of Eastern Finland. The recruiting university will be the same as that of the primary supervisor. The matching of the candidates with supervisors will be done during the review process and the candidates will have a chance to prioritise the supervising professor they want to work with (see details in FAQ ).

All positions are fully-funded. PhD student contracts will be made for three years. The terms of employment and the salaries are based on the General Collective Agreement for Universities . The contract includes occupational healthcare.

In addition to the 23 AI-DOC positions, many of the supervisors taking part in the call are also looking to recruit PhD student with their own funding from this call. Individual supervisors from Tampere University, University of Vaasa, and University of Eastern Finland can also make offers with their own funding.

What we look for

Successful candidates should have previous experience in machine learning, statistics, artificial intelligence, in another relevant field, demonstrated by success in related studies and ideally also by some publication record. For the candidates applying for positions in applied research areas, relevant experience and expertise in the application area are valued in the evaluation. Other merits demonstrating suitability for a researcher position can also be considered. Candidates should hold (or shortly receive) a Master’s degree in computer science, statistics, electrical engineering, mathematics, relevant application area or in another relevant field. The degree should be completed before the start of the employment.

The positions require the ability to work both independently and as part of a team in a highly collaborative and interdisciplinary environment. The primary working language in the joint program activities is English, so good written and oral command of English is required (see details in FAQ ).

Note: In the AI-DOC autumn call we target on new applicants and applicants that were shortlisted in the first AI-DOC call. If you were not shortlisted in the spring call, your application will not be re-evaluated.

Formal requirements

The accepted candidates of expected to start in the beginning of January 2025. Candidates accepted in the AI-DOC program will need to apply for the study right for doctoral studies at the university where they will be based. Depending on the partner university where the position is based, the candidate will either need to have the study right prior to recruitment, or get the study right within the probation period of the first 6 months. The requirements for the study right can differ slightly between the universities, but the general prerequisites are:

Master’s degree in a relevant field (completed by the time of applying for the study right)

Proficiency in English, Finnish, or Swedish (typically demonstrated with an official certificate, e.g., IELTS/TOEFL)

Please see FAQ (question 7) for university-specific requirements.

How to apply

Please submit your application by September 9, 2024 (23:55 Finnish time) through the Workday recruitment system, link below.

Candidates will apply to all universities and application areas with the same joint application. In the application form, you are able to indicate which specific research areas and supervisors you are interested in as well as to describe your research interests in more detail with a few keywords. Note: Candidates who are interested to work with a supervisor based at the University of Helsinki, will have to submit a parallel application to the university’s own recruitment system. Please note that the application needs to be submitted to both of the recruitment systems to ensure a proper review. See further details .

Note: You log in to the recruitment system with an email account. This email address is used for communication during the review process. Make sure to use an email account that you follow frequently and use the same email addresses in all your application documents (e.g. CV).

Required attachments:

Motivation letter (1–2 pages). Please specify the research area(s) and preferably the supervisors with whom you want to work. 

List of publications (if relevant; please do not attach full copies of publications)

A transcript of master’s/bachelor’s studies and the degree certificate of your latest degree. If you don’t have a Master's degree, a plan of completion must be submitted.

In the application form, you are also asked to provide contact details of two senior academics who can provide references.

All materials should be submitted in English in a PDF format. Adding attachments in secured format is not advised, since they may not open properly. You can upload max. five files to the recruitment system, each max. 5MB. Please do not add other attachments than what is required above.

Review process

September 9 – Call closes

Mid-September – Formal check

Mid-September to Early October – General review and shortlist (outcome will be informed later in October)

Early to mid-October – Individual review and interviews

Mid- to late-October – Expressions of Interest sent to candidates (non-binding)

Late October – Candidates rank the Expressions of Interest they received

Early November – Review by the Recruitment Committee and binding offers

Schedule is subject to minor changes.

Frequently asked questions

1) Where are the positions based?

The AI-DOC program is a joint effort of ten Finnish universities and recruited candidates will be based in one of these universities. The recruiting university depends on where he primary supervisor works. You can read more about the universities on their websites:

Aalto University LUT University Tampere University University of Eastern Finland University of Helsinki University of Jyväskylä University of Oulu University of Turku University of Vaasa Åbo Academi University

In the autumn call, there are positions still left in all partner universities except for Tampere University, University of Vaasa, and University of Eastern Finland. Individual supervisors from these universities can still recruit with their own funding.

2) Who will be my supervisor? Should I contact them before applying?

The AI-DOC program has around 350 senior researchers specialized in different areas who can work as supervisors. The potential supervisors are listed under each research area and you can visit their website to look for more details about their research focus.

You don’t need to contact the supervisor(s) you are interested in before applying. You can do so if you wish, but please notice that many supervisors receive a great amount of emails daily, so they might not be able to get back to you.

Matching the candidates with the suitable supervisors will be done during the review process. In the application form, you can indicate which professor(s) you would like to work with and we will take this into account in the review process. Candidates proceeding to the final stages of the call (Expressions of Interest), will also have a chance to rank the proposals they receive in the order of preference.

We aim for joint supervision, meaning one candidate will have one primary and one or more co-supervisors providing a larger pool of expertise and guidance (e.g., AI fundamentals + application area, cross-university, and university + industry).

3) I am interested in doing a PhD in collaboration with industry – is this possible in the doctoral program?

Yes! We have many potential partner companies that are interested in collaboration. Interest for collaboration with a company can be taken into account during the review process; detailed discussion with companies and possible agreements will be made after a candidate is accepted into the doctoral program.

4) How many positions are there available?

In the autumn call, we are looking to recruit 23 new PhD students. Overall, there are 100 new student recruited in the AI-DOC program. Positions are divided between the ten partner universities based on the supervision capacity. Positions in the autumn call:

Aalto University: 8 (30 positions in total) LUT University: 2 (5 positions in total) Tampere University: - (10 positions in total) University of Eastern Finland: - (5 positions in total) University of Helsinki: 4 (20 positions in total) University of Jyväskylä: 1 (7 positions in total) University of Oulu: 3 (10 positions in total) University of Turku: 2 (7 positions in total) University of Vaasa: - (3 positions in total) Åbo Academi University: 3 (3 positions in total)

5) What will my salary be? How are the terms of employment determined?

All our positions are fully funded. All universities follow the General Collective Agreement for Universities, and the terms of employment are determined in accordance with the collective agreement. All employees have access to the occupational health care services and are covered by the Finnish national health insurance system.

6) What is the contract period?

The contract period is three years. The students are expected to start in the beginning of January 2025 at the latest.

7) What are the requirements to get a PhD study right?

All candidates accepted in the program need to fulfil the admission criteria of the university they will be based at (see question 1). The basic requirements include a Master's degree and proficiency in Finnish, Swedish or English. Please check the admission requirements for doctoral studies before you apply for the PhD student position. Be prepared to present additional documents in case you will proceed to the recruitment and apply for doctoral study right.

More information about the admission criteria:

8) Do I need to provide a certificate of English language proficiency?

English is the primary working language in the joint program activities as well as in many of the research groups, so a good written and oral command of English is essential.

You don’t need a language skill certificate at the point of application. Please note , however, that if you get accepted in the doctoral program, you will need to apply for a PhD study right in the university you will be based at. Universities have different practices in what they require in the study right application and some require an official language certificate. Please see question 7 for more details.

9) Do I need to apply to the university that the main supervisor is affiliated to?

You have to primarily apply in the joint call to become accepted in the Finnish Doctoral Program Network in Artificial Intelligence (AI-DOC) ( see how to apply ).

After being accepted in the AI-DOC program, successful candidates will need to apply separately for a PhD study right in the university they will be based, typically within the probation period of first six months (see question 7 for details).

10) I am interested in working with a supervisor who is affiliated with the University of Helsinki – what do I have to do?

First : Apply to this call following the instructions here .

Second : Submit your application also to the parallel call of the University of Helsinki. See instructions here .

Please submit both of these applications within the call deadline. Your application will be processed following the joint review process of this call .

Interest in working with a supervisor affiliated with the University of Helsinki does not rule out the possibility to work with supervisors of other universities.

11) I am already a PhD student in one of the recruiting universities – can I apply in the call?

If you have received your doctoral study right no earlier than November 1, 2023 you can apply in this call.

Students who have received their PhD study right before November 2023 are not eligible.

12) What should the motivation letter contain? What is the maximum length?

Please submit a carefully written, max. 2-page motivation letter in which you explain

1) why you want to do a PhD in this doctoral program, 2) why you are interested in the research area(s) that you are applying to, and 3) if you have more specific plans for the future direction of your research.

In addition, if you can, please mention specific supervisors you are interested in working with and ideally highlight how your past experience and current interests align with their research.

13) You ask to name two senior academics who can provide references – can a postdoc / PhD student be a referee? When will you contact the referees?

Typically, we expect at least one of the referees to be at the level of independent investigator, principal scientist, group leader, lecturer or professor. Postdoctoral referees can be considered as well. Classmates or PhD students are not accepted as referees.

We will contact only the referees of shortlisted candidates, starting in October.

14) How do you process personal data during the recruitment process?

All the applicants benefit of the possibility to simultaneously apply to all ten partner universities. Thus, all the partner universities of the doctoral program will be organized an access to the application documents each applicant submits. The access is admitted to the personnel involved in the recruitment process, especially HR personnel and academic experts participating the evaluation of the candidates´ merits as well as members of relevant decision making bodies of each partner university.

We may collect and process the following categories of personal data about you:

Contact information (name, address, email, phone number)

Personal details (date of birth, nationality, gender)

Transcripts of studies, degree information and degree certificates

Professional skills, employment history and qualifications (CV, resume, motivation letters, references, educational and professional accomplishments)

Documents concerning recruitment process and decisions (interview notes, statements and assessment results)

Research area(s) that the applicants are interested in working in

Principal investigator(s)/supervisors that the applicants are interested in working with

Names of the senior researchers giving recommendations

Recommendations of the senior academics named by the applicants and other statements by the academic experts – person submitting recommendation does not have access to the application materials

Any other personal data that you provide to us during the recruitment process Aalto University will, on behalf of all involved universities, receive and collect the application documents as well as the identification data needed for the recruitment process. Aalto University stores the data during the process and provides a safe access to the recruitment system for the representatives of other partner universities.

We collect and process your personal data for the following purposes:

Assessing your suitability for employment within our respective organizations

Evaluating your professional skills and qualifications

Contacting you for interview purposes

Communicating with you about the recruitment process

Complying with legal obligations [and reporting requirements]

In the first phase, the partner universities will jointly handle the applications to ensure the optimal matching of interests expressed by the applicants and the available positions. Documents for each partner university own decision making and archiving purposes will be provided for partner universities as necessary. After the application round, Aalto University will store all the application data. Aalto University data retention rules (Data Management Plan TOS) will be followed, and no information is kept longer than necessary. Even though the necessary information is gathered jointly by partner universities, the recruitment and study application processes will be conducted onwards according to each university’s own processes and practices. Please find the privacy notices of each partner universities to get more information on the legal basis for processing the personal data as well as practices of processing of the personal data in partner universities’ standard recruitment processes:

Aalto University: privacy_notice_recruitment_20180525_paivitys_020120.pdf (aalto.fi)

LUT University: LUT-privacy_notice_job-applicants-2024.pdf

Tampere University: Privacy notice - HR Services of Tampere University | Tampere universities (tuni.fi)

University of Eastern Finland: Processing of personal data | University of Eastern Finland (uef.fi) -> Recruiting

University of Helsinki: Data protection | University of Helsinki -> Recruitment

University of Jyväskylä: Privacy notice for job applicants | University of Jyväskylä (jyu.fi)

University of Oulu: Data privacy notice - Job applicants at the University of Oulu | University of Oulu

University of Turku: Privacy Notice | University of Turku (utu.fi)

University of Vaasa: Tietosuoja - Vaasan yliopisto (uwasa.fi) (available only in Finnish)

Åbo Akademi: Privacy Notices | Åbo Akademi University (abo.fi)

All applicants need to have or apply also a study right. Information concerning processing of personal data in student application process and as a doctoral student is provided by each partner university

Aalto University: Data privacy notice for applicants | Aalto University

The partner universities are joint controllers of your personal data. Should you have any questions concerning the processing of personal data in the recruitment process, please don’t hesitate to contact coordinating organization, Aalto University ai-doc [at] aalto.fi. Read more on your rights as data subject in here .

15) I have already applied in the AI-DOC spring call - can I re-apply in the autumn call?

In the AI-DOC autumn call we target on new applicants and applicants that were shortlisted in the first AI-DOC call. Shortlisted applications from the spring call will not be automatically included in the autumn call, so if you want to participate in the autumn call, you will need to re-submit your application through the application form.

If you were not shortlisted in the spring call, your application will not be re-evaluated.

16) I have a further question that is not answered on this page – who should I contact?

Please read this page first carefully to see if your question is already answered here. If not, please contact us at ai-doc [at] aalto.fi.

Due to the large number of applications received in the call, there can be some delay with the answering times.

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The Best Free PhD Programs 2024. Fully funded PhD programs (Online PhD)

Navigating the complexities of PhD programs, one term often dominates the discourse – “fully funded”.

It represents a golden opportunity wherein all tuition fees and living expenses are covered by the educational institution, allowing students to focus on their research and studies free from financial constraints.

In this blog post, we explore what fully funded really means, share the my personal journey of pursuing a PhD in Australia, delve into the policies of various countries offering free or nearly free PhD programs, and provide key tips for securing a fully funded PhD opportunity.

Whether you’re considering a domestic program or an international adventure, the insights and tips offered here could pave the way to an invaluable, financially stress-free academic journey.

Fully funded online PhD and doctoral programs in the US

Here are some examples of PhD programs in the states that have been free and fully funded through scholarships and other grants that you may be able to apply for:

Online and On-Campus Doctoral Degrees

• Applicants to the Ph.D. in English program at UCLA are automatically considered for various funding options. A six-year funding package includes “a minimum of two years of full fellowship, four years of summer stipend support, and up to four years of teaching assistantships.” Beyond tuition, fees and health insurance are also covered.

Connecticut

• At Yale University, the School of Nursing offers full funding to its Ph.D. students. They receive a monthly stipend for four years in addition to paid tuition and health care.

District of Columbia

• Georgetown University offers scholarships and assistantships that cover full tuition and include a stipend and health insurance for the first five years to students in its PhD program in computer science.
• Students enrolled in the economics Ph.D. program at Emory University typically receive full funding. The stipend provided to students is $36,376 per year for five years, starting in fall 2023, and the full tuition scholarship is worth $70,200 per year. Funding for admitted students also includes a $4,370 annual subsidy that covers 100% of a student’s cost of health insurance. First-year students have no stipend-related work requirements.
• The University of Chicago provides funding for up to eight years of study for its anthropology PhD students. This includes a full-tuition scholarship, health insurance, and a living stipend of $33,000 for the 2022-2023 academic year. Students are also eligible to apply for external fellowships.
• University of Notre Dame doctoral students are guaranteed five years of funding, ensuring that their doctorate program is supported financially. Funding includes a full scholarship, including tuition and fees, plus a stipend and health insurance, making it similar to free tuition.
• The Tippie College of Business at the University of Iowa provides full funding to “virtually all admitted students.” This includes tuition and fees, a minimum nine-month stipend of about $20,000 with annual adjustments, and 90% coverage of comprehensive health insurance. Additional funding is also provided for research presentations at major conferences, summer fellowships, and paid time off for independent research.
• At the University of Maryland’s Harriet Tubman Department of Women, Gender and Sexuality Studies, Ph.D. students without a master’s degree usually have five years of guaranteed funding. Those with a master’s degree usually are funded four years, with awards stemming from a mix of departmental fellowships and graduate teaching assistantships.

Massachusetts

• The T.H. Chan School of Public Health at Harvard University offers a PhD in biological sciences in public health, providing expertise in disease prevention and treatment. This program includes tuition, a stipend, and health insurance for five years, assuming students maintain satisfactory academic progress. Current research involves diseases such as AIDS, cancer, diabetes, kidney disease, malaria, and tuberculosis.
• Students enrolled at the Sloan School of Management at MIT have the opportunity to study various fields, such as organization studies, accounting, and information technology. They receive a full-tuition scholarship, a monthly stipend of $4,267, medical insurance, new laptops at the start of their first and fourth years of study, and $4,500 over five years for conference travel expenses.
• Doctoral students studying English at Boston University receive a stipend plus full tuition, fees, and basic health insurance. This funding is guaranteed for at least five years, with two of those years typically free from teaching requirements. Funding can sometimes be extended up to seven years, but it’s not guaranteed. Students may also apply for various prizes, fellowships, and short-term research and travel grants.
• Doctoral students in engineering at the University of Michigan—Ann Arbor are guaranteed full funding, a monthly living stipend, and health insurance. The exact amount can vary and funding comes from a range of sources, including graduate student instructor positions and fellowships.
• Students admitted to the Ph.D. program to study psychology at the University of Minnesota—Twin Cities are guaranteed full funding for five years as long as they maintain satisfactory performance and degree progress. This funding includes full-time tuition, a nine-month stipend, and subsidized health insurance.
• PhD students in computer science or computer engineering at Washington University in St. Louis receive full tuition support, health insurance, a generous stipend for living expenses, and a new high-end Apple laptop computer. This support is guaranteed as long as students continue to make satisfactory progress towards their degree.
• Full-time NYU Steinhardt Ph.D. students are eligible for a funding package that includes an annual stipend – $32,000 for the 2022-2023 academic year – tuition coverage for required coursework and student health insurance for five years.
• All students admitted to the interdisciplinary management Ph.D. program at the Binghamton University—SUNY School of Management in New York receive a combination of a full-tuition scholarship and a teaching or research assistantship for each academic year, up to four years.
• Cornell University offers full funding to all students admitted to its PhD program in chemical engineering. This funding can come from a teaching assistantship, research assistantship, or fellowship, and full stipends are granted for nine months, with the likelihood of additional aid in the summer.
• Columbia University provides fully funded tuition and a $25,000 annual stipend for three years to students enrolled in its PhD program in clinical psychology. This stipend also carries into the student’s fourth year, during which they may be expected to serve as a graduate teaching or research assistant.

North Carolina

• Doctoral students at Duke University studying materials science and engineering generally receive full tuition, a stipend, and fee support for the first five years. Students also receive up to six years of health insurance if they are on the university’s student medical insurance plan.

Pennsylvania

• The University of Pennsylvania Graduate School of Education provides full funding to Ph.D. students as part of a fellowship and research apprenticeship package. This funding includes a living stipend, health insurance and coverage of tuition and fees for up to four years if the student maintains full-time enrollment. Some students may also qualify for additional summer funding.
• Students admitted to Bryn Mawr College’s Ph.D. program in social work receive full tuition waivers and “substantial stipends” toward living expenses.
• University of Notre Dame doctoral students are guaranteed five years of funding. Funding includes a full scholarship, including tuition and fees, plus a stipend and health insurance.

Rhode Island

• Brown University guarantees full financial support for five years to its PhD students in computer science. This includes tuition remission, a stipend, health services fees, and a subsidy for health insurance.
• Funding is guaranteed for all admitted doctoral students enrolled in the special education Ph.D. program at Vanderbilt University. This includes full tuition, a “competitive” monthly stipend, and health insurance for up to four years.
• Rice University offers full financial assistance to students admitted to the PhD program at the Jones Graduate School of Business. This includes a research or teaching assistantship, a tuition waiver, and a $40,000 annual stipend, contingent upon maintaining satisfactory academic progress and full-time student status.
• All students admitted to the University of Virginia’s Ph.D. in Nursing program are eligible for four years of scholarship funding to cover tuition, insurance, and fees, as well as annual stipends. To receive certain aid, students must work 10 hours per week as a graduate teaching assistant.

Washington D.C.

• American University offers doctoral students in its international relations program who do not have external funding a renewable four-year Dean’s Fellowship that is contingent on making satisfactory academic progress. The fellowship includes the cost of tuition, fees, and a stipend that must be earned via a part-time role as a teaching or research assistant.
• The University of Wisconsin—Madison guarantees full funding for the duration of the time doctoral students are expected to be on campus. This funding may come from financial aid, fellowships, assistantships, and/or traineeships. In addition, doctoral students receive a benefits package that includes health insurance.

Can you get a fully funded PhD program online – the truth about doctoral programs!

It is very uncommon to find a fully free online PhD program – Universities are businesses and want you to pay money to get their qualifications.  Also, it is very common for PhD students to get paid via stipends throughout their PhD.

However, there are countries that offer scholarships and fee-waived places in their doctoral programs – check that out below!

Typically, Ph.D. programs require tuition unless otherwise stated or funded by scholarships, grants, or assistantships.

In general, online Ph.D. programs require tuition payments, but financial aid options such as scholarships, grants, and assistantships can reduce or cover costs for eligible students, making these online phd studies more accessible.

Always check the specific program details for financial aid opportunities.

What Does Fully Funded Mean In a Doctorate Program?

The concept of a “fully funded” PhD program signifies that the entirety of expenses related to the doctoral program is covered. This includes tuition fees, which are either waived or entirely paid for by the educational institution.

Beyond tuition, the program also encompasses a living stipend or allowance given to doctoral students. 

Fully funded PhD programs essentially function as a comprehensive scholarship, covering everything from tuition fees to books and other necessary supplies.

While the stipend amount can vary based on the institution, it is generally sufficient to cater to the basic living expenses of the students, covering rent, food, and transportation costs.

The main aim of providing this stipend to doctoral students is to facilitate a learning environment where they can focus entirely on their studies, research, and dissertation, without the distraction of financial pressures. 

Universities, including public ones, offer these fee-waived doctoral programs with the intention to draw in the best students.

These students, in turn, are expected to contribute significantly to the advancement of research in their respective fields and derive a high-quality education from their doctorates.

It is important to note that eligibility for these scholarships or stipends requires proof of commitment to the doctoral degree. In my experience, this meant securing a top-class master’s degree. This reassured the university of my dedication to pursuing a PhD and furthering my education.

In recent years, there has been a rise in such fully funded programs online , offering a wider reach for prospective PhDs.

As we move further into 2023, students may increasingly opt for these online PhD programmes, making the pursuit of doctoral degrees more accessible than ever.

Countries with a free PhD / fully funded PhD – How much does a PhD cost in other countries?

Sometimes doing a free PhD means going abroad and doing your PhD in another country.

Personally, I travelled to Australia to do my PhD for the adventure and lifestyle. I was able to get a fee-waived placement and international student fee waiver for three years to finish my degree.

Here’s a summary of some of the best countries you could do you PhD in if you want to do it for free.

In the Czech Republic , public universities host a multitude of English-language PhD programs and these programs are free for all PhD students, irrespective of their nationality. However, additional costs may be incurred by international students which might include language courses, health insurance, or student services fees, depending on the university policies.

Sweden maintains a unique policy that not only eradicates PhD fees at public universities but also provides study grants to some PhD students, which serves as a financial aid for their living expenses during the tenure of their studies.

In Germany , public universities offer feeless PhD programs to all students, which can include free PhD programs online. However, a nominal administration fee, approximately €300 per semester, is required. This fee usually covers student services and perks like public transportation and access to university facilities.

Austria ‘s policy benefits PhD students from within the EU and EEA who complete their doctorates within a stipulated time frame, offering free education at public research universities. International students, on the other hand, have to pay fees, which, nonetheless, are capped by the Austrian government to maintain affordability.

Norway , like its Nordic counterparts, offers free PhD education at public universities to all students, regardless of their origin. But a small semester fee, usually covering student services, is obligatory.

Denmark also practices a policy of free PhD education for EU, EEA, and Swiss students at public universities, but international students are required to pay fees, which are generally on the higher side compared to other European countries.

Finland doesn’t discriminate in terms of nationality and offers free PhD studies at public universities. However, international students are charged for their Masters programs.

Saudi Arabia stands out with its unique policy where all PhD students are awarded scholarships that automatically cover their education fees, as well as help them with living expenses.

In the Netherlands , PhD study isn’t universally free, but many institutions extend the offer of free PhD study to international postgraduates. Some universities consider the PhD students as university employees, offering them a waiver on fees and potentially a salary or benefits.

Switzerland , although not offering free PhD studies, keeps its fees low at around CHF 1500 per year at public universities. State-funded PhD positions are also available to EU, EEA, and Swiss students that come with no fees and a maintenance grant.

Top tips for finding a PhD for free – online and on-campus

Here are the top tips I would give you when Choosing a free PhD.

• Apply to STEM programs: Many PhD (and Master’s) programs, especially in the STEM (Science, Technology, Engineering & Math) fields, are fully funded in the US. Most state schools and Ivy League schools have fully funded programs for these fields.
• Prepare for stiff competition: Because these programs are fully funded, the competition is high. It’s not uncommon for hundreds or even thousands of students to apply to these programs each year, with only a small fraction being accepted.
• Consider assistantships: Fully-funded programs usually provide a stipend in the form of Graduate Teaching Assistant (GTA) or Graduate Research Assistant (GRA) positions. These roles involve either teaching or conducting research under a professor’s supervision.
• Be ready for some costs: Despite tuition being covered, you may still need to cover some school fees, student insurance, and other miscellaneous expenditures.
• Don’t consider unfunded programs: Many graduate programs do not fund students, but experts advise against attending these schools. The availability of funding indicates the health of the department in terms of research money and growth.
• Work on your application: The application process generally starts around September to December for many accredited online doctorate degrees. Standardized tests such as GRE and TOEFL/IELTS are required, along with transcripts, recommendation letters, and a statement of purpose.
• Avoid programs that require you to pay: It’s a common sentiment among experts that if you’re paying to be a PhD student, there might be something wrong with the program.
• Apply for fellowships: There are graduate fellowships available for international students that cover tuition and offer a monthly stipend.

Wrapping up – Free doctoral degree program and online doctoral program – Get a PhD

This comprehensive article delves into everything you need to know about free PhD programs, also known as fully funded PhD programs, including the essential details, benefits, and potential challenges that students may encounter.

The term “free PhD” generally refers to a fully funded program that covers tuition fees and provides a stipend for living expenses, allowing students to complete their PhD studies without financial burden.

It is crucial to understand why you should never enter a PhD program without proper funding. Hence, pursuing a free or fully funded PhD should be a priority for all PhD students, regardless of nationality or field of study.

These programs may be offered both online and on-campus by various top universities around the world.

Fully funded PhD programs cater to both international and local students, including those pursuing a traditional PhD, online doctorate, or an accelerated executive doctorate of education.

For instance, fully funded online PhD programs in fields like business administration, education policy, and social work in clinical practice are available for students who hold master’s or bachelor’s degrees.

The duration of these programs may range from 1 year for fast-track or shortest doctoral programs to several years for other disciplines, including online phd studies. Moreover, many programs focus on specialization in subjects like higher education policy, laboratory research, and much more.

One of the perks of these programs is that many institutions provide a stipend to cover living expenses during the course of study, ensuring that students can focus entirely on their research without worrying about financial constraints.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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Doctoral Programme in Business and Management

The Doctoral Programme in Business and Management offers a possibility to study and conduct research leading to a doctoral degree in the research field of Economics and Business Administration. The doctoral programme enables graduates to become professional researchers in the academic sector and to work in demanding expert and developmental tasks in companies and public sector organizations.

The doctoral programme belongs to LUT Business School, the research of which focuses on sustainable value creation, entrepreneurship and international business as well as digitalization and business analytics. The overall objective of research conducted in the school is to provide explanations of the factors that lead to sustainable business renewal, i.e. approaches that will ensure that companies are successful in international competition and, at the same time, operate in a way that is economically, ecologically and socially sustainable.

Research is conducted in international and national research groups and in close cooperation with companies. In addition to companies, other actors that provide funding for research include Research Council of Finland, the EU and Business Finland.

Doctoral degree

A doctoral degree, Doctor of Science (Economics and Business Administration), includes doctoral studies (30 ECTS credits) and research leading to writing publications and a dissertation that has to be defended publicly. During doctoral education the student acquires a theoretical knowledge of the research field and topic in question, skills in applying scientific research methods and capabilities to generate new scientific knowledge and to understand its impact to practice.

Those entering into the doctoral programme for the field of Economics and Business Administration are usually recruited to become a part of a research group, which are formed of professors, post-doctoral researchers and doctoral students. In these groups, the practices of scientific work open up to the junior researcher to their whole extent.

Further information

Paavo Ritala

Lut business school.

Applying for Doctoral Studies

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The PhD programme enhances and polishes your ability to research business challenges in today's environment and recommend viable solutions.

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The programme serves the needs of mature students, helping them to advance in their careers. It is designed to graduate scholars/ practitioners who will set the standard for best practices and contribute to the solution of critical business and management problems.

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Doctoral defence of Ilakya Selvarajan, MSc, 12 Sep 2024: Cell type specific genetic regulatory mechanisms in human coronary artery disease

Body flexibility in middle age linked to survival, the lessons learned from the coronavirus pandemic are often generalising and predictable – examining experiences of the pandemic requires a more critical eye, obed asamoah, msc: doctoral defence in forest science, online, opening ceremony of the academic year 2024–2025, kalle karjalainen, msc: doctoral defence in applied physics, kuopio.

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School of Theology

What meaning do spirituality and religions have in a changing world? What new aspects does studying these provide about the modern world’s challenges?   

Current phenomena are researched at the School of Theology from the viewpoint of Christianity and world religions. We educate experts in theology to work for the church and in schools and various communities. Our strength lies in connecting Eastern and Western theological traditions with students’ everyday life and research. We are the only university in Finland that offers full Master’s degree studies in theology qualifying for the positions of an Orthodox priest or cantor. 

Staff members

Degree students (2022), academic publications (2022).

The School of Theology is a human-sized, student-friendly academic community. We facilitate interaction between the students and researchers of Western and Orthodox theology. We educate experts to work in various positions in churches and communities, schools, the university and society. Our students find employment as priests, teachers and Orthodox Church cantors. Theology students are free to choose any of the minor subjects taught at the University of Eastern Finland. Postgraduate studies can be completed in the Doctoral Programme in Social and Cultural Encounters.   

For exchange students, we offer degree courses in English . We also offer degree programmes taught in Finnish. To learn more about our degree programmes, please visit  our page in Finnish . 

In addition, our Doctoral programme is taught in English (see below).

Exchange studies

Continuous learning

Alumni network

Doctoral Programme in Social and Cultural Encounters (SCE)

We examine the roots of Christianity as well as current spiritual phenomena and ideological trends. The focus is on the meaning and social and cultural influences of various Christian traditions. Our research gives a voice to spirituality and ethics in social debate. 

Dissertations

Research communities

UEF Connect expert search

Research areas

Our School conducts nationally and internationally recognised high-quality research in Biblical Studies, Church History, Systematic Theology, Practical Theology, Comparative Religion, Religious Education and Church Music.

Our research groups and projects

The original form of Parish Social Work - DietS

The ”Diakonia and Parish Social Work” (DietS) project aims to collect, organize, and encourage the re-examination of ancient sources on diakonia from...

Parables as persuasive narratives

This project aims at a paradigm shift in one of the most studied topics: the interpretation of the parables of Jesus. We seek to understand, how these...

Eastern Christian Daily Office

The aim of our research group is to study the daily liturgical (non-eucharistic) services of Eastern Churches. Our homebase is the School of Theology...

Systematic Theology

On this website, there is guidance on the projects and research initiatives of the School of Theology that involve a systematic theology perspective...

Utopian studies network

The Utopian studies network brings together UEF scholars interested in utopias from a substantial or methodological point of view. Utopian studies...

Live Meaningfully – Toward Existential Wellbeing of the Older People

Existential wellbeing of the older people The number of elderly people is rapidly growing , and the younger generations do not identify the...

Religion, meaning and masculinities: Religion in the lives of men in Finland

This project explores what religion means to men and how the role of religion is changing among men in Finland. Recent statistical data suggest an...

Climate crisis and religious change in Sub-Saharan Africa

Understanding and mitigating anthropogenic climate change requires holistic and interdisciplinary research. This anthropological research project...

Impact of Covid-19 to experience of meaning

The COVID-19 pandemic has affected the life of Finnis since spring 2020. The challenges caused by the COVID-19 were manifolded: getting ill, fear of...

Sound in Eastern Christianity: Function, Meaning, Agency

The research group examines sound and voices in the context of Eastern Christianity through historical and contemporary phenomena. What is the...

Existential Wellbeing

Existential wellbeing (EWB) can be characterised as finding personal existence meaningful and oneself as competent to cope with difficulties that life...

Orthodox Christianity in Finland: Practices and Lived Religion

The memory of violence in a religious cult.

Breadline utopias: Alternative futures of material assistance

The oft-repeated narrative is that when food assistance arrived in Finland in the wake of the 1990s recession, it was intended to be temporary. It was...

News and events

Doctoral defense of evangelos thiani, mdiv, 18 may 2024: diakonia is a fundamental part of traditional orthodox theology that has been ignored – the study of transformative philanthropic-diakonia of the african orthodox church of kenya, doctoral defence of antti kyytsönen, mth, 22 march 2024: the parables of jesus evoke emotions and guide listeners in the desired direction, diverging religiosity and wellbeing – boys more religious than before, girls feel bad while distancing from religion.

Events archive

East Meets West blog

Our researchers blog about encounters between East and West.

Read the blog

The International Society for Orthodox Church Music

The ISOCM is a forum for researchers, composers, chanters, and students of Orthodox church music.

Ortodoksia journal

Ortodoksia is a peer-reviewed journal with a focus on Orthodox theology, culture, and traditions.

Read the journal

Contact information

Head and deputy heads.

Ilkka Huhta

Head of School

School of Theology, Philosophical Faculty

ilkka.​huhta​@uef.fi

+358503063193

Maria Takala-Roszczenko

Associate professor.

Deputy Head of School

maria.​takala​@uef.fi

+358503804609

Suvi-Maria Saarelainen

suvi-​maria.​saarelainen​@uef.fi

+358504676975

Vesa Hirvonen

University lecturer.

School of Applied Educational Science and Teacher Education, Philosophical Faculty

vesa.​hirvonen​@uef.fi

+358504422405

Timo Kallinen

timo.​kallinen​@uef.fi

+358505760507

Matti Kotiranta

matti.​kotiranta​@uef.fi

+358503721553

Pekka Metso

pekka.​metso​@uef.fi

+358504422966

Serafim Seppälä

serafim.​seppala​@uef.fi

+358503467825

Kati Tervo-Niemelä

kati.​tervo-​niemela​@uef.fi

+358503253876

Lauri Thurén

lauri.​thuren​@uef.fi

+358505910991

Martin Ubani

martin.​ubani​@uef.fi

+358503063231

Please find a comprehensive list of staff members in  UEF Connect , where you can also search people by name or key word.

Abazari, Nader

Postdoctoral researcher.

nader.​abazari​@uef.fi

Ahokas, Minna

Visiting researcher.

minna.​ahokas​@uef.fi

Blom, Jenni

Part-time teacher.

jenni.​blom​@uef.fi

Buchholz, Laura

laura.​buchholz​@uef.fi

Part-time university teachers

Kaisa Puustinen

Yliopistonlehtori.

kaisa.​puustinen​@uef.fi

+358504362572

Emeritus and emerita professors

Paavo kettunen, professor, emeritus.

paavo.​kettunen​@uef.fi

Hannu Mustakallio

hannu.​mustakallio​@uef.fi

Enquiries on studies and admissions

University of Eastern Finland’s Student and Learning Services is responsible for providing general study-related administrative services for students and staff, as well as offer support for applicants.

See Student and Learning Services .

Postal address

University of Eastern Finland

Philosophical Faculty

P.O. Box 111, FI-80101

Visiting address

Yliopistonkatu 4, Agora, Joensuu

Doctoral Programme in Law

The doctoral programme and the Faculty of Law offer a uniform selection of disciplines in order to create a flexible framework for the interplay of education and research. The degree programme cooperates with LERU (League of European Research Universities).

Want to know more? Visit our profile & activities page to learn more about the key research areas and activities in the programme.

How To Watch 90 Day Fiancé: Before The 90 Days Season 7 Online From Anywhere

Eight couples find out if their online relationships can last IRL

• Watch in the US
• Watch from anywhere
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• Watch in Canada
• Watch in Australia
• Everything to know

How To Watch 90 Day Fiancé: Before the 90 Days Season 7 Online

Watch 90 Day Fiancé: Before the 90 Days Season 7 – Preview

The 90 Day Fiancé spin-off is back, and introduces eight brand-new couples to the franchise. We’ll follow them as they traverse the globe and meet their online partner IRL for the first time. It’s far from plain sailing, though, and their initial connection is challenged by the clashing realities of cultural expectations and personal beliefs. Catch all the drama with our guide below, where we explain how to watch 90 Day Fiancé: Before the 90 Days Season 7 online from anywhere now.

Love sure makes you do crazy things! Before the 90 Days charts the romantic bonds of couples who’ve fallen hard for each other online. Despite having only DM’d or seen each other on FaceTime, they take a leap of faith and travel half-way around the world to discover if their chemistry translates in real life, and which finds them in countries as diverse as Poland, Brazil, Ghana, Croatia, and the Philippines.

And Season 7 is keeping things fresh with a never-before-featured cast of couples, whose often divergent personal, religious, and cultural circumstances provide a fascinating melting pot of opinions and backgrounds ripe with conflict and juicy drama.

Brian, a wheelchair user from Illinois, arrives in Brazil to meet the glamorous Ingrid, but fears she might be using him just to leave the country. Faith is a transgender woman from the Philippines under the impression she’ll move back to the US with Nevada native Loren. But he's yet to divulge that he’s totally broke and homeless. 

Veah, meanwhile, jeopardizes her latest relationship by taking her ex-boyfriend along for her rendezvous with Sunny in South Africa. And, over in Nigeria, Rayne isn’t fazed by the fact that Chidi is blind. But she is thrown for a loop by his Christian insistence on refraining from sex before marriage. That one might just be a deal-breaker.

Find out who ends up filing for that K-1 marriage visa and who jumps on the first flight home with our guide below. It’ll explain how to watch 90 Day Fiancé: Before the 90 Days Season 7 online and from anywhere in the world.

Watch 90 Day Fiancé: Before the 90 Days Season 7 online in the US

US viewers can watch 90 Day Fiancé: Before the 90 Days Season 7 on the TLC channel, beginning from Sunday, September 1 at 8pm ET/PT . New episodes will be broadcast at the same time each week.

If you’ve cut the cord, you can watch TLC content with a great value Sling TV subscription . You’ll need to select the Sling Blue plan to access TLC, FX, Bravo, ABC and lots more, and which currently costs just $22.50 for your first month with an over 50% off saving .

FuboTV is a pricier cable replacement option, though very comprehensive. Its entry-level Pro Plan provides a lineup of well over 100 channels, for $79.99 a month after two discounted months at $59.99. But, if you’re new to the service, you can test waters without paying anything thanks to its 7-day FREE trial .

Alternatively, new episodes are available on Max , the Warner Bros. Discovery streamer, the same day as their TLC broadcast. Subscribe to the basic monthly plan at $9.99, get a discounted annual membership, or opt for one of a number of money-saving Disney Plus bundle options.

Overseas and not in the States right now? Use a VPN to access US services like Sling from anywhere and catch every episode of 90 Day Fiancé: Before the 90 Days Season 7 by following the steps below.

How to watch 90 Day Fiancé: Before the 90 Days from anywhere

US citizen on vacation ? Or perhaps you're working overseas and want to stream 90 Day Fiancé: Before the 90 Days on a streaming service, just as if you were back home. Unfortunately, in some markets you'll be stopped from doing so due to geo-blocking.

But with a VPN you can change your IP address and make your computer, smartphone, tablet or other streaming device think its right back in the US.

That means US citizens overseas can subscribe to a VPN, join a US-based server and access their subscription no matter where you are in the world, just as if you were in the comfort of your own home.

Watch 90 Day Fiancé: Before the 90 Days as if you were at home with a VPN Try out NordVPN, our choice of the best VPN for unblocking many of the major streaming services – and doing so speedily – including Sling TV. You'll be able to stream from any device, including your mobile or desktop, TV, or gaming console. Incredibly secure, too, get assistance with its 24/7 customer support and enjoy a 30-day money back guarantee.

How to use a VPN to unblock streaming services:

1. Choose your ideal VPN and install – our go-to recommendation for unblocking is NordVPN , costing from $3.99 a month with its 2-year plan

2. Connect to a server – for Sling TV  or Max, for example, you'll want to connect to a server based in the US

3. Go to the stream you wish to access  - for  90 Day Fiancé: Before the 90 Days , that could be Sling TV, FuboTV, Max, or Discovery Plus.

How to watch 90 Day Fiancé: Before the 90 Days in the UK

UK viewers will be able to stream 90 Day Fiancé: Before the 90 Days Season 7 online from Monday, September 2 when they sign-up to Discovery Plus . Subscribe for as little as £3.99 a month, or pick the annual option to save around 15% over the year.

If you’re traveling away from home, download a VPN . This handy piece of software lets viewers access the services they already pay for, regardless of where they are in the world.

Watch 90 Day Fiancé: Before the 90 Days Season 7 online in Canada

Looking for love…and lots of relationship drama? Canadians can watch 90 Day Fiancé: Before the 90 Days online with a subscription to Discovery Plus . 

We haven’t seen an official Season 7 release date announced in the Great North. However, given that the last season was released simultaneous with its US debut, we’re fairly confident this will be the situation this year, too. You can sign-up to Discovery Plus for CA$5.99 a month or get the CA$8.99 ad-free option instead.

An American north of the border? Use a VPN to access US-services like Sling TV and Max just like you would back home .

Can I watch 90 Day Fiancé: Before the 90 Days in Australia?

We’re still waiting on a release date Down Under for 90 Day Fiancé: Before the 90 Days Season 7. 

Until then, you might console yourself by purchasing a Binge subscription and reacquainting yourself with Seasons 3 through 6. Plans start from AU$10 a month, but only after its very generous 14-day free trial .

Everything you need to know about 90 Day Fiancé: Before the 90 Days Season 7

90 day fiancé: before the 90 days season 7 trailer.

Who are the couples in 90 Day Fiancé: Before The 90 Days Season 7?

• Vanja, 41, from Florida, & Božo, 38, from Croatia
• Tigerlily, 41, from Texas, & Adnan, 23, from Jordan
• Rayne, 38, from New Mexico, & Chidi, 34, from Nigeria
• Loren, 33, from Nevada, & Faith, 31, from the Philippines
• Niles, 28, from Alabama, & Matilda, 23, from Ghana
• Joe, 34, from Florida, & Magda, 23, from Poland
• Brian, 52, from Illinois, & Ingrid, 33, from Brazil
• Veah, 27, from Florida, & Sunny, 26, from South Africa

Where can I watch 90 Day Fiancé: Before the 90 Days Season 7?

In the US, new episodes of 90 Day Fiancé: Before the 90 Days will air weekly on TLC through cable or satellite TV. For those who no longer have access to cable, there are a variety of OTT options you can chose. Sling TV and FuboTV offer a cable-like experience with dozens of live channels, while streaming service Max will upload episodes to watch on-demand.

For those based in the UK, Canada, Spain, Brazil, India, and various other territories, Discovery Plus is the international home for the 90 Day Fiancé spin-off.

CINEMABLEND NEWSLETTER

Your Daily Blend of Entertainment News

Daniel Pateman has been a freelance writer since 2018 and writing for fun for much longer. He currently works across Future Plc brands like TechRadar, T3, Games Radar, and What Hi-Fi?, where he has produced detailed guides on the best streaming services and regularly writes How to Watch pieces informing our readers where to watch the hottest new films and TV shows.

In addition to his work with Future, Daniel writes broadly on topics across the cultural spectrum, including photography, sculpture, painting, and film, the latter being the medium closest to his heart. He’s been published in Aesthetica, The Brooklyn Rail, and Eyeline magazine, interviewed various artists and has reviewed exhibitions within the UK and internationally. He’s also commissioned by curators and artists to help produce catalogue essays, press releases, and museum wall text.

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Current Stable Version

The current stable release of GIMP is 2.10.38 (2024-05-02).

Show downloads for GNU/Linux  | macOS  | Microsoft Windows  | All (we think your OS is … Well, we don't actually know. Either JavaScript is disabled, or I am not working quite right… So I am showing you all the options )

GIMP for Unix-like systems

Install GIMP flatpak

Warnings and information

Flatpak build available in: x86-64 and AArch64 ( note: i386 and ARM-32 versions used to be published, yet are now stuck at GIMP 2.10.14 and 2.10.22 respectively ).

If available, the official package from your Unix-like distribution is the recommended method of installing GIMP!

The flatpak build is new and has known limitations, though it will likely provide faster updates, following GIMP releases closely. Therefore choose your installation medium according to your needs.

Flatpak additional instructions

The flatpak link above should open your software installer and prompt you to install GIMP. Yet it may not work out-of-the-box on some platforms since the flatpak technology is new. If that is the case, ensure flatpak is installed and if clicking the link still does not prompt to install GIMP, then manually install by command line:

flatpak install https://flathub.org/repo/appstream/org.gimp.GIMP.flatpakref

Once installed, it will be made available exactly the same way as other applications (menus, desktop overview, or any specific application launch process used by your desktop). If this is not the case, we suggest to report a bug to your desktop or distribution asking for proper support of flatpak. In the meantime, you can still run it by command line (not as the recommended method, only a workaround):

flatpak run org.gimp.GIMP//stable

This installation will also provide regular update. You don't have to come back on this page and install again (it will not work!) when a new version of GIMP is released. Instead if your distribution and/or desktop has a good support for flatpak, it should propose to perform updates. Once again, if your distribution does not have proper support, you can always fall back to using the following command line:

flatpak update

Systems without flatpak support

GIMP can also run on Solaris and is available for the BSD family of systems such as FreeBSD and OpenBSD.

Please refer to the documentation for your Unix-like system on the installation of software.

GIMP for macOS

Updated on 2024-05-22: GIMP 2.10.38 DMG revision 1 Fixes a packaging bug because of which GIMP could only run on the latest macOS version.

Download GIMP 2.10.38 for Intel via BitTorrent Download GIMP 2.10.38 for Intel directly Show downloads for ARM64 (Apple Silicon)

Download GIMP 2.10.38 for Apple Silicon via BitTorrent Download GIMP 2.10.38 for Apple Silicon directly Show downloads for x86_64

Supported OS: macOS 10.13 High Sierra or newer

• !IMPORTANT! ⚠️ App Store: GIMP team does not provide any package on Apple's App Store at the moment. Any downloads on the store are created by third party and is not in anyway connected to the GIMP team. ☢️

These are vanilla builds without any third-party add-ons. Just open the downloaded DMG and drag and drop GIMP into your "Applications" folder.

Since version 2.8.2, GIMP runs on macOS/OSX natively. No X11 environment is required.

• SHA256 hash sum for gimp-2.10.38-arm64-1.dmg : dc1aa78a40695f9f4580ce710960ff411eeef48af45b659b03b51e4cd6cdf4e8 Check it on VirusTotal : gimp-2.10.38-arm64-1.dmg
• SHA256 hash sum for gimp-2.10.38-x86_64-1.dmg : d2d3ac20c762fe12f0dd0ec8d7c6c2f1f3a43e046ecb4ed815a49afcbaa92b92 Check it on VirusTotal : gimp-2.10.38-x86_64-1.dmg

Older Downloads

Previous installers for macOS/OSX can be found on download.gimp.org .

Third Party Downloads

Third party packages are not officially supported by the GIMP project. Therefore you should report issues to the packagers first, before reporting to the GIMP team. We only list some of these package systems here because they are widely used FLOSS projects, though we won't list projects providing very outdated versions.

An easy way to compile and install GIMP and other great Free software on your Mac is by using Macports . The installer allows you to choose from a large directory of packages. To install gimp using Macports, you simply do sudo port install gimp once you have Macports installed.

Last we checked, the GIMP port file pointed to the current stable release and we have reports from people who've built GIMP successfully this way.

• Download Macports

Homebrew is similar to Macports and provides packages (aka formulas) to install, either by compiling them from source or by using pre-made binaries. There are indications that there is now a formula for GIMP, installable with: brew tap homebrew/cask && brew install --cask gimp .

• Download Homebrew

NOTE! Please be aware that it was announced recently that Homebrew is using analytics. To turn this off, run: brew analytics off You can read more about this on Brew Analytics .

Fink is a package repository that offer mostly precompiled binaries. It provides the apt-get command known to e.g. Debian and Ubuntu users, and installing GIMP is as easy as sudo apt-get install gimp once you have installed the Fink installer . If there's no binary package, then fink install gimp will compile GIMP from source.

Disclaimer: we haven't been able to determine if it is possible to install or build recent GIMP from Fink. Last we checked, GIMP 2.6.12 appears to be the most recent GIMP package that is offered there .

• Download Fink

GIMP for Windows

Download GIMP 2.10.38 via BitTorrent Download GIMP 2.10.38 directly GIMP 2.10.38 on Microsoft Store

GIMP on the Microsoft Store is the same as the direct link installer . If you wish to install through the store, we recommend using the provided store link as our team cannot vouch for third-party packages of our code.

Supported OS: Windows 10 or newer

• This is an all-in-one installer containing the following versions of GIMP: x86 32-bit and 64-bit, ARM 64-bit (experimental). It will automatically install the appropriate version.
• BitTorrent is a peer-to-peer file sharing system. It works by downloading GIMP from a distributed network of BitTorrent users, and may improve download speed dramatically. Choosing this option will download the torrent file for the GIMP installer. You may need to install a torrent client to make use of this file. Learn more...

The SHA256 hash sum for gimp-2.10.38-setup.exe is: e3515980c9012eed67cf78f1151d216725529e95676c16f5ff7478d46230ddab

Check it on VirusTotal : gimp-2.10.38-setup.exe

Previous v2.10 installers for Windows can be found on download.gimp.org .

Source for version 2.10 (Stable)

GIMP releases are also available as source tarballs from gimp.org and its mirrors , containing the source code to compile for your system: https://download.gimp.org/gimp/v2.10/

For instructions on how to build GIMP from source code, you will want to read our developer website .

You may want to read the Release Notes for GIMP 2.10 .

User Manual

GIMP's user manual can be dowloaded separately on the documentation website either as language-specific Windows installers or as source tarball.

The manual can also be browsed online

Development snapshots

🤫Pssst... want to check out GIMP 2.99.18 development release? Get it on our development downloads page 🧪.