Battery Testing Optimization Specialist: Enhancing EV Performance through Machine Learning

Vor 3 Tagen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit

Responsibilities:

  • Analyze and adapt data models for battery testing to improve efficiency and accuracy.
  • Design and implement a test environment to simulate battery test lab conditions, ensuring reliable and repeatable results.
  • Study and apply state-of-the-art machine learning techniques to optimize plant management and battery testing processes.
  • Develop and implement prototypes for tasks in the battery testing facility, allocating test equipment effectively.
  • Create an agent prototype that interacts with the environment to optimize battery testing.
  • Design dashboard prototypes to communicate necessary changes in resource allocation and improve overall efficiency.

Profile:

  • Ongoing master study in Computer Science, Telematics, or Physics.
  • Strong programming skills in Python, with C# skills a plus.
  • Knowledge of machine learning algorithms, reinforcement learning, and data structures.
  • Good knowledge of German and English languages.
  • Ability to work occasionally at our headquarter in Graz.

What We Offer:

  • Opportunity to write your thesis independently with professional guidance and support from our experienced employees.
  • Chance to exchange ideas with experts in the company and benefit from their expertise.
  • Immerse yourself in the world of AVL and apply your theoretical knowledge in a practical environment.
  • Remuneration for the successful completion of the thesis with a one-time fee.

At AVL, we value diversity and celebrate individual perspectives, making us successful in achieving our vision of a greener, safer, and better world of mobility.



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