Optimizing Battery Testing for Electric Vehicles: A Machine Learning Approach

Vor 5 Tagen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit
About the Project

We are seeking a highly motivated master's student to work on a thesis project focused on optimizing battery testing for electric vehicles using machine learning algorithms.

Responsibilities
  • Analyze and adapt data models for battery testing
  • Implement simple test environments to simulate battery test labs
  • Analyze state-of-the-art machine learning approaches applicable to plant management
  • Select and implement prototypes for tasks in the battery testing facility (e.g., allocate test equipment)
  • Design an agent prototype that interacts with the environment
  • Design dashboard prototypes to communicate necessary changes in resource allocation
Requirements
  • Ongoing master's study in Computer Science, Telematics, or Physics
  • Good programming skills in Python, C# skills a plus
  • Knowledge of machine learning algorithms (e.g., reinforcement learning)
  • Knowledge of data structures and translations
  • Good knowledge of German and English
About AVL

AVL is a leading mobility technology company providing concepts, solutions, and methodologies for the automotive industry and beyond. We offer a unique opportunity to work on a real-world project and apply theoretical knowledge in a practical environment.

What We Offer
  • Professional guidance and support from experienced employees
  • Opportunity to exchange ideas with experts in the company
  • Remuneration of EUR 3,500 before tax for the successful completion of the thesis


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