Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
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Time period
- Starting immediately for a period of 6 months
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
- Complete resume
- Letter of motivation
- Certificate of enrollment
- Transcripts, especially current grade reports
- University or college guidelines specifying the minimum duration
- For non-EU citizens: Valid residence permit required
Benefits
- Attractive remuneration
- 35-hour week with flexible working hours
- Paid vacation days
- Discounted lunch in the company restaurant
- Free parking
- Urban environment with good transport connections
- Individual support in the department
- Accompanying activities and student network
Do you have any questions?
SABINE.PASSEK@MAHLE.COM
+49 711 501-47574