INTERNSHIP DETAILS

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

CompanyMAHLE
LocationStuttgart
Work ModeOn Site
PostedOctober 19, 2026
Internship Information
Core Responsibilities
The intern will analyze vehicle measurement data and develop surrogate models for thermal vehicle systems. They will also implement and evaluate machine learning algorithms while collaborating with experts in thermal management and control engineering.
Internship Type
full time
Company Size
25895
Visa Sponsorship
No
Language
English
Working Hours
35 hours
Apply Now →

You'll be redirected to
the company's application page

About The Company
MAHLE is a leading international development partner and supplier to the automotive industry with customers in both passenger car and commercial vehicle sectors. Founded in 1920, the technology group is working on the climate-neutral mobility of tomorrow, with a focus on the strategic areas of electrification and thermal management as well as further technology fields to reduce CO2 emissions, such as fuel cells or highly efficient combustion engines that also run on hydrogen or synthetic fuels. Today, one in every two vehicles globally is equipped with MAHLE components. For privacy statement and imprint follow the website link below.
About the Role

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?
     
   SABINE.PASSEK@MAHLE.COM  
   +49 711 501-47574 

 

Key Skills
Machine learningData sciencePythonNumPyPandasScikit-learnPyTorchAgentic software developmentReinforcement learningData-driven modelingThermal managementControl engineeringSimulationData visualization
Categories
EngineeringTechnologyData & AnalyticsEnergySoftware
Benefits
Attractive remuneration35-hour weekFlexible working hoursPaid vacation daysDiscounted lunchFree parkingIndividual supportStudent network