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Master Thesis Causal AI in Manufacturing
Renningen, germany, full time entry-level / junior eur 27k - 63k *.
- @BoschGlobal đť•Ź
Bosch Group
View all jobs at Bosch Group
Posted 2 days ago
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
At Bosch, we have many manufacturing plants with highly automated production lines. In order to minimize costs and ramp-up time, it is crucial to understand the cause-effect relationships between various process parameters and the functionality of the final product. The use of collected manufacturing data and expert knowledge in combination with causal learning techniques holds great potential for gaining insight into manufacturing processes and solving domain tasks.
- In this thesis, you will develop causal learning methods based on domain knowledge and data.
- Furthermore, you will evaluate the quality of learned causal models on real manufacturing data.
- Last but not least, you will have the opportunity not only to interact with manufacturing process experts and ML scientists, but also to co-author a conference or journal publication.
Qualifications
- Education: Master studies in the field of Physics, Mathematics, Computer Science, Mechanical Engineering, Electrical Engineering or comparable with very good grades
- Experience and Knowledge: practical experience in Machine Learning; programming in Python; knowledge of causality is an advantage
- Personality and Working Practice: a self-motivated, reliable and independent person
- Languages: fluent in English
Additional Information
Start: Â according to prior agreement Duration: Â 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job? Jingyi Yu (Functional Department) +49 152 34622715
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index đź’°
Tags: Computer Science Engineering Machine Learning Mathematics Physics Python Spark
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Master Thesis Extended Simulation Model for MEMS Gyroscope
- Legal Entity: Robert Bosch GmbH
Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
The Robert Bosch GmbH is looking forward to your application!
Job Description
- During your master thesis, you will be responsible for extending an existing MEMS gyroscope simulation model (micromechanic and electrostatic) in MATLAB Simulink sensor-specific physical properties such as nonlinear mechanics and temperature dependencies.
- Together with Bosch experts, you will play an active role in understanding the underlying physical effects and the corresponding cause-and-effect relationships.
- You will also choose an appropriate modeling approach, such as using MATLAB Simscape.
- You will design validation and sanity checks for models.
- The scope of the Master's thesis will be tailored to your application profile and current needs.
Qualifications
- Education: studies in the field of Electrical Engineering, Mechanical Engineering, Mechatronics, Engineering Cybernetics, Microsystems Engineering, Physics or comparable
- Experience and Knowledge: very good knowledge in MATLAB and Simulink, experienced in mathematical description and modeling of dynamic systems as well as physical understanding of mechanical and electrical systems
- Personality and Working Practice: high degree of self‑employment to acquire new knowledge and conscientious work
- Languages: good in English and German
Additional Information
Start: according to prior agreement Duration: 3 - 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.
Need further information about the job? Richard Schönleber (Business Department) +49 7121 35 31035
Job Location
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