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Master Thesis Predictive Modeling and Control for Autonomous Driving (f/m/x)

BMW Groupvor 19 StundenWerkstudent
HybridEnglisch erforderlichDeutsch erforderlichTechKI, ML & Data Science

Erforderliche Skills

process optimizationtime delay systemspredictive modelingPythonevent-driven simulationautonomous drivingMATLABcontrol systemssimulationdata analysismodeling

Stellenbeschreibung

BMW Group hat diese Stelle ausgeschrieben. Unten erklären wir, was sie für dich als Werkstudent:in in Munich bedeutet: deine Wochenstunden, dein Netto und deine Visumsgrenzen. Du kannst außerdem ChatGPT oder Claude mit einem fertigen Prompt öffnen, um deinen Lebenslauf anzupassen, deine Eignung zu prüfen, ein Anschreiben zu verfassen oder dich auf das Interview vorzubereiten.

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Beschreibung bereitgestellt von BMW Group

THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.

SHARE YOUR PASSION.

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Join our cutting-edge autonomous driving data-driven development team at the BMW Group. We optimize data processes crucial for automated driving development. Your focus will be on modeling and improving large data upload processes to increase efficiency and predictability—key factors in advancing autonomous driving technology.

What awaits you?

  • You will support analyzing and modeling the entire large data upload process for autonomous driving systems.
  • Furthermore, you help develop a parameterizable model for fitting real-world data to improve predictability.
  • In addition, you contribute to investigating and simulating process steps, including delays in data transmission.
  • Moreover, you assist in identifying factors influencing data loss and delays, such as trigger configurations and vehicle fleet characteristics.
  • Additionally, you explore event-driven simulation methods for the large data upload process.
  • You evaluate control strategies, comparing regulation versus steering approaches for process optimization.
  • You collaborate with experts in autonomous driving and data analytics to implement innovative solutions impacting BMW's autonomous driving data infrastructure.


What should you bring along?

  • Studies in data science, machine learning, control systems, computer science or related fields.
  • Strong interest in autonomous driving and data-driven process optimization.
  • Knowledge of simulation techniques, preferably event-driven simulation approaches.
  • Understanding of time delay systems and process control concepts.
  • Programming skills in Python, MATLAB or similar tools for data analysis and modeling tasks.
  • Ability to work independently and communicate results clearly to technical stakeholders.
  • Good German and English skills.


Are you passionate about new technologies and an innovative environment? Then Apply now!

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Mobile work.
  • Attractive & fair compensation.
  • Apartments for students (subject to availability & only at the Munich location).
  • And much more, see bmw.jobs/whatweoffer


Start date: Earliest start date 15.06.2026

Duration: 6 months

Working hours: Full-time

You can find helpful tips on your application and the application process here.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.

Master Thesis Predictive Modeling and Control for Autonomous Driving (f/m/x)

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