SO VIEL UNTERNEHMEN GEHT NUR IN WENIGEN UNTERNEHMEN.
TEILE DEINE LEIDENSCHAFT.
Erfolg ist Teamarbeit. Nur wenn Expert:innen ihr Fachwissen und ihre Begeisterung teilen, entsteht ein Workflow, in dem Ideen fließen. Das nennen wir Innovationskultur. Deshalb geben wir Studierenden bei uns nicht nur die Gelegenheit zum Zuhören, sondern vor allem auch zum Mitreden und Weiterdenken.
We, the BMW Group, offer you an exciting thesis in the field of test automation for infotainment and communication systems. Support our team in the development of machine learning models for the automated analysis of test results and error patterns.
What awaits you?
1. You analyze in-vehicle network trace data in depth.
2. Additionally, you develop and implement machine learning models for automated detection and analysis of error patterns.
3. Scientific evaluation of the developed models is part of your tasks.
4. You contribute to an innovative AI-based testing strategy.
Please note that the supervision of your thesis must be ensured by your university.
What should you bring along?
5. Studies in Computer Science, Engineering, or a comparable field.
6. Strong programming skills, ideally in Python.
7. Experience with machine learning frameworks like PyTorch or TensorFlow is desirable.
8. Interest in Data Science, Deep Learning, and Anomaly Detection.
9. Ability to quickly grasp and structure complex issues.
10. Motivation to contribute proactively to innovative projects.
Are you excited about new technologies and an innovative environment? Then apply
What do we offer?
11. Comprehensive mentoring & onboarding.
12. Personal & professional development.
13. Flexible working hours.
14. Mobile work.
15. Attractive & fair compensation.
16. Apartments for students (subject to availability & only at the Munich location).
17. And much more, see .
Start date: from 01/01/2026
Duration: 6 months
Working hours: Full-time
Do you have questions? Then submit your inquiry easily via our. Your request will be answered by phone or email afterwards.
At the BMW Group, equal opportunities are a particular concern for us. The equal treatment of applicants and employees is a fundamental principle of our corporate policy. Therefore, our recruiting decisions are based on their personality, experience, and skills. More information .