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

MAHLE GmbH; Stuttgart; Vor Ort; EUR 8.900 - 13.000; Vollzeit

Benefits dieser Stelle

Discounted lunch

Free parking

35-hour work week

Zusammenfassung

MAHLE GmbH in Stuttgart offers an internship in Machine Learning for Energy-Efficient Vehicle Control and Thermal Management. You will analyze vehicle data, develop surrogate models, and support control algorithm development, applying Python ML tools and collaborating with a cross-functional team.

The role emphasizes an analytical, independent work style, English proficiency, and a 6-month duration. Local facilities include a company restaurant, parking, and a 35-hour week.

Qualifikationen

• Pursuing a degree in a relevant technical field (e.g., CS, DS, engineering)
• Basic knowledge of ML or data science
• Strong Python programming skills (NumPy, Pandas, Scikit-Learn, PyTorch)
• Interest in reinforcement learning, AI and data-driven models
• Independent and analytical approach to work
• Proficiency in English
• Complete application documents including resume, motivation letter, enrollment certificate, transcripts
• University guidelines specifying minimum duration

Aufgaben

• Analyze and process vehicle measurement data for data-driven modeling
• Develop and validate surrogate models for thermal vehicle systems
• Support development of innovative thermal management controllers
• Implement and evaluate ML algorithms in Python
• Run simulations and analyze/visualize results
• Collaborate with experts in thermal management, control engineering, and AI

Kenntnisse

Python

Machine learning

Reinforcement learning

Data science

Ausbildung

Bachelor/Master in Computer Science, Data Science, Mechanical Eng, Electrical Eng, Math, Physics

Tools

NumPy

Pandas

Scikit-Learn

PyTorch

Jobbeschreibung

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

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

• 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
• Complete resume
• Letter of motivation
• Certificate of enrollment
• Transcripts, especially current grade reports
• University or college guidelines specifying the minimum duration
• Attractive remuneration
• 35-hour week with flexible working hours
• 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?
[e-mail]
[phone]

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

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)

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.