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

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?
[e-mail-cím elrejtve]
[telefonszám elrejtve]

DE

Facts about the job

Benefits: Benefits-DEstu/FH_PE_AP_DC_TR_MA_SP_DI_RE

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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