Machine Learning Researcher for Battery and Fuel Cells Testing
vor 1 Woche
We are offering a research topic for a thesis on machine learning-based testing of battery and fuel cells. The successful candidate will have the opportunity to work on the development of machine learning methods and their implementation into our testing pipeline. This includes the implementation of physical models and overcoming the limitations of sparse and out-of-distribution training datasets.
Your Responsibilities- Fitting physical models to the test measurements of batteries or fuel cells
- Development of machine learning methods
- Implementation of the developed methods into our testing pipeline
- Overcoming limitations of sparse and out-of-distribution training datasets
- Ongoing studies in the fields of 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
- You will have the opportunity to write your thesis independently and receive professional guidance and support from our experienced employees.
- You will have the chance to exchange ideas with experts in the company and benefit from their expertise.
- You will have the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.
About AVL: AVL is one of the world's leading mobility technology companies for development, simulation, and testing in the automotive industry, and beyond. The successful completion of the thesis is remunerated with a one-time fee of EUR 3,500 before tax.
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