Thesis Opportunity in EV Battery Testing with Machine Learning
Vor 2 Tagen
About the Job:
We are seeking a highly motivated and skilled master's student to work on a thesis project focused on optimizing battery testing for electric vehicles using machine learning techniques. The successful candidate will have the opportunity to work closely with our experienced team and contribute to the development of innovative solutions for the automotive industry.
Responsibilities:
- Analyze and adapt data models for battery testing
- Implement a simple test environment to simulate battery test lab
- Analyze state-of-the-art in ML applicable to plant management
- Select appropriate approaches and implement prototypes for tasks in the battery testing facility allocate test equipment
- Design an agent prototype that interacts with the environment
- Design dashboard prototypes to properly communicate necessary changes in resource allocation
About You:
- Ongoing master study in the fields of Computer Science, Telematics or Physics
- Good programming skills in Python
- C# skills appreciated
- Knowledge of machine learning algorithms and reinforcement learning
- Knowledge of data structures and translations
- Good knowledge of German and English
- Presence from time to time at our headquarter in Graz required
About AVL:
At AVL, we foster and celebrate diversity. We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As an Equal Opportunity Employer, we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation, or disability status.
What We Offer:
- You can write your thesis independently and receive professional guidance and support from our experienced employees.
- You will have the opportunity to exchange ideas with experts in the company and benefit from their expertise.
- Take the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.
The successful completion of the thesis is remunerated with a one-time fee of tax. We look forward to receiving your application
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