Internship Machine Learning for Energy-Efficient Vehicle Control and Thermal Management (m/
At a glance
Pay
Not stated
Median for Stuttgart (all fields): €2,025/mo, from 140 internship postings with stated pay in the last 12 months. Salary guide
Requirements
Studies: Computer science, data science, mechanical engineering, electrical engineering, mathematics and statistics, physics or related · must be enrolled
Languages: English (good)
Hours & duration
Starts March 2027 · 6 months
Benefits
Flexible hoursCanteen or mealsApplication
Grades or certificates requested
Employer
MAHLE · Automotive · 10,000+ employees worldwide · HQ in Stuttgart
We list 78 open student roles at MAHLE, 72 in Stuttgart. 37 more have closed since March 2026. See all MAHLE roles
Similar roles
107 open Tech roles in Stuttgart
Of these: 22% with no German needed, 38% hybrid or remote, 6% with pay stated.
Skills in the ad
Surrogate ModelingAgentic Software DevelopmentPyTorchNumPyPythonScikit-LearnReinforcement LearningPandasMachine LearningSimulation
Job description
Prepare your application Get a CV and cover letter tailored to this job, free.
Description provided by MAHLE
Time period
- From March 2027 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?
[email protected]
+49 711 501-47574
Rules that apply:Mandatory internship140/280-day ruleNet pay calculator
