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Internship in Simulation & Optimization of Energy Systems

On-site Internship

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Experience Level

Entry Level

Qualifications

Education: Pursuing studies in electrical engineering, energy engineering, cybernetics, computer science, or a related field. Experience and Knowledge: Strong proficiency in Python, with extensive experience in scientific libraries such as NumPy, Pandas, SciPy, and scikit-learn; familiarity with MATLAB for modeling and simulation; ideally some experience in battery modeling and basic knowledge of lithium-ion battery aging processes; solid grasp of optimization and simulation principles in energy systems; experience with version control systems such as Git. Personality and Work Style: Highly motivated and capable of working independently; demonstrates initiative to drive project success; able to collaborate effectively both independently and within a team.

About the job

  • As an intern, you will engage in simulating various charging scenarios, including vehicle-to-home (V2H), vehicle-to-grid (V2G), uncontrolled charging, and rapid charging techniques.
  • Your responsibilities will also include optimizing charging strategies while considering current market dynamics and climate conditions.
  • Analyze battery aging processes to enhance battery life and performance.
  • Conduct thorough data analyses and assessments to derive meaningful insights.
  • Participate actively in designing innovative features and contribute your creative ideas.
  • Utilize Python to develop new features, integrate them into our systems, perform software testing, and meticulously document your findings.

About Robert Bosch GmbH

At Bosch, we are committed to shaping the future by creating innovative technologies and services that inspire and enhance people’s lives. Our promise to our employees is unwavering: we grow together, enjoy our work, and motivate one another. Join us and experience the difference!

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