Machine Learning Expert for Battery and Fuel Cell Testing
vor 2 Wochen
Thesis Opportunity
We are seeking a motivated research assistant to contribute to the development of machine learning methods for testing battery and fuel cells.
Responsibilities
- Fitting physical models to test measurements to capture inner characteristics
- Developing machine learning methods and implementing them in AVL's testing pipeline
- Overcoming limitations of sparse and out-of-distribution training datasets
Requirements
- Ongoing studies in Computer Science, Telematics, Physics, or Electrical Engineering
- Good programming skills in Python or C++
- Knowledge of Machine Learning
- Good knowledge of German and English
- Skills in solving PDE are beneficial
Offer
- Independent thesis writing with professional guidance and support
- Exchange of ideas with experts in the company
- Opportunity to immerse yourself in AVL's world and embed theoretical knowledge in a practical environment
About AVL
AVL is a leading mobility technology company for development, simulation, and testing in the automotive industry and beyond.
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