Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
MAHLE
Automobile und Zweiräder
Stuttgart
- Art der Beschäftigung: Studierende
- Hybrid
Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
Über diesen Job
Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/f/d)
06_Students (technical)
BU2 Thermal and Fluid Systems
Together, we move the world—we’ve been doing it for over 100 years. At MAHLE, as a leading international development partner and systems supplier to the automotive industry, we pursue the objective of making mobility more efficient, more environmentally friendly, more convenient, and more economical. As part of our dual strategy, we are working both on the intelligent combustion engine for the use of hydrogen and other nonfossil fuels and on technologies for fuel cells and e-mobility.
MAHLE generated sales of €11.3 billion in 2025. Employing just under 65,000 people at 127 production locations and 11 technology centers, the company is represented in 28 countries. (as at: 12/31/2025). Join our MAHLE team! #weshapefuturemobility
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
SABINE.PASSEK@MAHLE.COM
+49 711 501-47574
DE
Depending on the job profile and personal situation of the employees, MAHLE offers the possibility of flexible working, for example through home office. This is how we support our employees in balancing their professional and private lives.
Facts about the job
Benefits: Benefits-DEstu/FH_PE_AP_DC_TR_MA_SP_DI_RE
Flexibles Arbeiten in Gleitzeit
Betriebliche Altersvorsorge
Attraktive Vergütung
Firmeneigene KiTa
Weiterbildungsprogramm
Benefit-Paket 'MAHLEforMe'
Betriebssportgruppen & Gesundheitsmanagement
Mitarbeiter Rabattplattform
Betriebsrestaurant
Entry level: Internship
Part- / Full-time: Full Time
Functional area: Research & Development
Department: BU2 Thermal and Fluid Systems
Location:
Stuttgart, DE, 70469
Company: MTFS (DE)
Closing date for applications
Don't waste any time, apply while the position is online.
Your future at MAHLE
As a team player and someone who thinks ahead, you can deploy all your skills with us. In cooperation with colleagues from different countries and areas, you contribute in designing the mobility of the future. When selecting MAHLE, you choose trend-setting technologies and strategies. Are you interested in working with us and developing efficient and environmentally-friendly solutions, optimising existing products, and turning innovative ideas into reality? Then MAHLE is the right address for you.
Shape the future with us.
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