Master / Semester Thesis (m/w/d) Battery Team

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Campusjäger GmbH
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Master / Semester Thesis (m/w/d) Battery Team

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You believe energy storage and transport are at the cusp of a revolution? You believe that lithium ion batteries are causing this revolution?

We enable customers to precisely analyze the state of Lithium-Ion-Batteries and predict battery health and lifetime using digital twin technology.


Thesis Topics
  • Please think about your topic before you apply and describe it as precisely as possible. We hope you understand that we can only consider applications with a clear idea of the topic. Please apply with a short letter of motivation and your CV.

Your Profile
  • Ongoing engineering studies and passion for developing algorithms/models
  • Strong experience in MATLAB & Simulink, knowledge in C, C++
  • Knowledge of Python when used for machine learning
  • (Experience with Tensorflow / Keras is an advantage)
  • Theoretical/practical knowledge of lithium-ion batteries is an advantage
  • Passion for contributing to the energy revolution

Your Benefits
  • Competitive Salary
  • Modern Office in Munich
  • Free Breakfast, Snacks and Coffee
  • Subsidized Lunch in high quality Canteen (Vegetarian Options available)

Interested? We are looking forward to your application via Campusjäger!
For more information or to apply visit:

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