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

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

Benefits dieser Stelle

Flexible hours

35-hour week

Paid vacation

Discounted lunch

Free parking

Good transport links

Student network

Department support

Zusammenfassung

MAHLE is offering a 6-month internship in Stuttgart focused on analyzing vehicle measurement data and developing data-driven models for thermal vehicle systems. You will implement and validate ML algorithms in Python, run simulations, and visualize results under expert guidance in thermal management and AI.

This role requires enthusiasm for reinforcement learning and autonomous experimentation. Applicants should be enrolled in CS/DS/engineering programs, have basic ML/data science knowledge,

Qualifikationen

• 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.
• Independent and analytical approach to work.
• Good command of English.

Aufgaben

• Analysis and processing of vehicle measurement data for data-driven modeling approaches.
• Development and validation of surrogate models for thermal vehicle systems.
• Support 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 thermal management, control engineering, and AI.

Kenntnisse

Python

NumPy

Pandas

Scikit-Learn

PyTorch

Machine learning

Reinforcement learning

English

Ausbildung

Pursuing degree in CS/DS/Engineering

Jobbeschreibung

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 connectionsIndividual support in the department
• Accompanying activities and student network

Do you have any questions?

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