Machine Learning Engineer for Battery and Fuel Cell Testing
vor 2 Monaten
About the Project:
We are seeking a highly motivated student to work on a thesis project focused on machine learning-based testing of battery and fuel cells. The successful candidate will develop and implement machine learning methods to improve the testing pipeline at AVL.
Your Responsibilities:
- Develop machine learning algorithms to analyze and improve testing data
- Implement the developed methods into our testing pipeline
- Overcome limitations of sparse and out-of-distribution training datasets
Your Profile:
- Ongoing studies in Computer Science, Telematics, Physics, or Electrical Engineering
- Strong programming skills in Python or C++
- Knowledge of machine learning concepts and techniques
- Good communication skills in German and English
- Experience with solving partial differential equations (PDEs) is a plus
What We Offer:
- Independent thesis work with professional guidance and support
- Opportunity to collaborate with experts in the field and gain practical experience
- Chance to apply theoretical knowledge in a real-world setting
Remuneration:
The successful completion of the thesis will be remunerated with a one-time fee.
Join us in shaping the future of energy storage and efficiency
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