Time period

Tasks

Analysis and processing of vehicle measurement data for data-driven modeling approaches
Development and validation of surrogate models for thermal vehicle systems
Supporting the development of innovative thermal management controllers
Implementation and evaluation of machine learning algorithms in Python
Conducting simulations as well as analyzing and visualizing the results
Collaboration with experts in the fields of thermal management, control engineering, and AI

Requirements

Currently, purely voluntary internships cannot be offered
Currently pursuing a degree in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, Mathematics, Physics, or a comparable field
Basic knowledge of machine learning or data science
Good programming skills in Python (e.g., NumPy, Pandas, Scikit-Learn, PyTorch) and in agentic software development
Interest in reinforcement learning, AI, and data-driven models
Independent and analytical approach to work
Good command of English

Application documents

Benefits

Do you have any questions?

SABINE.PASSEK@MAHLE.COM
+49 711 501-47574

Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)

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