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MAHLE

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

MAHLE Stuttgart, Baden-Württemberg, Germany

Motor Vehicle Manufacturing · 10,001+ employees

19 h ago
machine-learning Junior (0-2 yrs) Internship Germany
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About the role

The intern will analyze vehicle measurement data and develop surrogate models for thermal management systems. They will also implement and evaluate machine learning algorithms in Python while collaborating with engineering experts.

What they look for

Machine learning Data science Python NumPy Pandas Scikit-Learn PyTorch Agentic software development Reinforcement learning Data-driven modeling Thermal management Control engineering Simulation Data visualization

Requirements

Candidates must be currently pursuing a degree in a technical field such as Computer Science, Data Science, or Engineering. Proficiency in Python and a basic understanding of machine learning or data science are required.

Benefits

Attractive remuneration Flexible working hours Paid vacation days Discounted lunch Free parking Individual support Student network

Full description

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

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