Student (f/m/x) - Battery Aging Modelling

German Aerospace Center • Space & Aerospace • Python • 17 days ago
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Salary
≈ $16k – $24k per year (Estimated)
Location
In office (Stuttgart)
Seniority
Intern

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 4, 2026.

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German Aerospace Center

The German Aerospace Center (DLR) is the national research centre of Germany for aeronautics and space, headquartered in Cologne, conducting research and development in aviation, space, energy, transport, security and digitalisation. It runs dozens of institutes at sites such as Braunschweig, Stuttgart, Ulm, Hamburg, Jena, Bremerhaven and Jülich, and also hosts the German Space Agency, which manages the country's space programme. It hires researchers, engineers and software developers, along with many working students, interns and master's thesis candidates in areas such as quantum technologies, future fuels, flight software and space debris risk.
dlr.de • HQ: Cologne, Germany • Natural Resources • Farming & Agriculture • Space & Aerospace • 1001-5000 employees
Tech stack of German Aerospace Center

The Institute of Vehicle Concepts (FK) of the German Aerospace Centre (DLR) is internationally recognised for the design of future road and rail vehicles that enable climate and environmentally friendly mobility while being affordable and user-friendly at the same time.

We research and demonstrate the required key technologies and maintain close cooperation with other scientific institutions as well as industrial and political bodies.

What to expect

The Institute for Vehicle Concepts is seeking dedicated students to support our research in railway traction and energy systems. Our work focuses on the development and analysis of innovative, energy-saving concepts using a variety of simulations. Your role will involve exploring and advancing simulation-based research in railway traction and energy systems.

You will contribute to the development of concepts, models, and strategies aimed at improving the efficiency and sustainability of current railway systems. Hereby is the battery a core component in the vehicle system

Your tasks

  • Develop an understanding of the state-of-the-art: battery architecture, cell chemistries, cell modelling, cell aging effects and models.
  • Compare different cell aging model variants according to required input/ output variables and parameters
  • Define the requirements for a model that estimates cell aging within the overall system boundary conditions.
  • Create a lean evaluation method to choose the most suitable aging model for use in the system-level design
  • Parametrize and validate a battery-aging model based on literature parameters for exemplary cell chemistries such as LF(M)P, NMC, LTO

Your profile

  • Student in applied computer science, engineering, natural sciences, or comparable fields of study
  • Independent and proactive working style
  • Interest in model-based development
  • Familiarity with Python
  • Basic knowledge of alternative drive systems and energy distribution, energy systems and thermodynamics

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 4922) please contact:

Mr. Marcel Scharmach

Phone: +49 711 6862 8213

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