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BOBosch Group

Internship Simulation & Optimization of Energy Systems(m/w/x)

Renningen
Full-timeInternshipOn-site
Data Science

Simulating V2H/V2G charging scenarios and optimizing strategies for energy systems, analyzing battery aging processes at technology developer. Very good Python knowledge with NumPy, Pandas, SciPy, scikit-learn experience required. Hands-on feature design involvement.

Requirements

  • Studies in electrical engineering, energy engineering, cybernetics, computer science or comparable
  • Very good knowledge of Python
  • Experience with NumPy, Pandas, SciPy, and scikit-learn
  • Proficiency in MATLAB for modeling and simulation
  • Ideally initial experience in battery modeling
  • Foundational understanding of lithium-ion battery aging
  • Understanding of energy system optimization and simulation
  • Experience with version control systems like Git
  • High motivation and independent working style
  • Demonstrated initiative for project success
  • Ability to collaborate independently and in teams
  • Office attendance

Tasks

  • Simulate various charging scenarios including V2H and V2G
  • Optimize charging strategies based on market and climate conditions
  • Analyze battery aging processes to improve lifespan
  • Conduct comprehensive data analyses and evaluations
  • Participate in the design of new features
  • Program and implement new features using Python
  • Perform software tests and document results

Education

  • Vocational certification

Languages

  • GermanBusiness Fluent
  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • NumPy
  • Pandas
  • SciPy
  • scikit-learn
  • MATLAB
  • Git
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