Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management

Internship starting March 2027 for 6 months at MAHLE in Stuttgart, in the area of machine learning for vehicle control and thermal management.

• Analysis and preparation of vehicle measurement data for data-driven modeling approaches
• Development and validation of surrogate models for thermal vehicle systems
• Contributing to the development of innovative thermal management controllers
• Implementation and evaluation of machine learning algorithms in Python
• Running simulations and evaluating and visualizing the results
• Collaboration with experts in thermal management, control engineering and AI

• Purely voluntary internships cannot currently be offered
• Enrollment in a degree program 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 way of working
• Good English skills
• For non-EU citizens: a valid residence permit is required