Bosch Gruppe
Reutlingen, Germany
Tasks
Are you eager to connect physical insights with advanced AI? We are offering an exciting master's thesis opportunity to work on physically informed machine learning for system identification and performance modeling of MEMS gyroscopes.
During your assignment, you will construct machine learning (ML) algorithms for system identification and performance prediction of MEMS gyroscopes.
You will examine MEMS gyroscope data through detailed analysis.
Furthermore, you will assess physically informed ML in comparison to other architectures.
Furthermore, you will acquire a deep physical understanding of MEMS gyroscopes to optimize your models.
Finally, you will work with real-world sensor data to validate your findings.
profile
Education: Master studies in the field of Informatics, Physics, Engineering or comparable with good grades
Experience and Knowledge: in data driven parameter identification; knowledge of Python,...