Master Thesis Physically Informed Machine Learning Based System Identification in MEMS Gyroscopes
Tasks
- Analyze MEMS gyroscope data
- Build machine learning algorithms for system identification
- Compare physically informed machine learning models
- Optimize models using physical understanding
- Predict MEMS gyroscope performance
- Validate models using real world sensor data
Perks/Benefits
Skills/Tech-stack
Data Analysis | Data pipeline | Machine Learning | Pandas | Probabilistic Modeling | PyTorch | Python | Sensor data | System Identification
Education
Regions
Countries
States
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