Master Thesis Physically Informed Machine Learning Based System Identification in MEMS Gyroscopes
BoschReutlingen · Posted Aug 04
Master's thesis opportunity at Bosch to develop physically informed machine learning for system identification and performance modeling of MEMS gyroscopes. You will build ML algorithms, analyze MEMS gyroscope data, compare physically informed ML with other architectures, gain deep physical understanding of MEMS gyroscopes, and validate findings using real-world sensor data. On-site presence required in Reutlingen, Germany. Duration six months with possible one-month internship before start. Enrollment at university required.
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- Onsite
- Remote eligible
- No
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