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Ph.D. Student Machine Learning (d/f/m)

Temporary, Part-time · Berlin
Your mission
You will be working on one of the most dynamic and emerging research fields linked to the energy transition: Data-driven battery modeling. By developing and applying AI methodology, you will advance battery aging models and simulation tools beyond state-of-the-art.
 
As part of the collaboration with the HPI, you will partly be working with the Artificial Intelligence and Sustainability research group at the HPI for 50% of the time. The other 50% of the time you will be getting insights into battery degradation aspects and will be working on practical industry problems, deeply embedded in the betteries Analytics Team. 
Your profile
  • Completed master’s degree in Computer Sciences with a focus on ML/AI
  • Research interest in applying ML to physics-based systems, ideally batteries & analysis of ML boundaries
  • Excellent English communication skills in writing and verbally
  • Excellent programming skills in a high-level language (e.g., Python) and low-level language (e.g., C++)  
  • Experience working in a multi-disciplinary and international team 
What we can offer
  • An impact-oriented culture with a strong team spirit  
  • A professional working environment with plenty of room to grow and learn    
  • Flat hierarchies, short communication channels    
  • An international team with 9 nationalities  
  • Hybrid working with the opportunity to also partly work from home (Berlin-Brandenburg-based) 
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About us
betteries is a profit for impact start-up based in Berlin, Germany that upcycles batteries from electric vehicles into connected affordable power systems to avert climate change and protect valuable resources - fully embracing the principles of a circular economy. Our 2nd life batteries and power  systems are connected, mobile, modular and multi-purpose.
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