Description
The Robert Bosch GmbH is seeking a master's thesis student to develop physically informed machine learning algorithms for system identification and performance prediction of MEMS gyroscopes. The role involves analyzing gyroscope data, comparing physically informed models with other architectures, building deep physical understanding, and validating findings with real-world sensor data. Applicants need a master's degree in Informatics, Physics, Engineering, or a comparable field, knowledge of Python, PyTorch, Pandas, and probabilistic modeling, and practical experience with data handling and pipeline construction. The thesis requires on-site presence, lasts six months, and may include a one-month internship before starting.
