The team is dedicated to the implementation and optimization of innovative solutions in the field of quality management. As part of your thesis, you will gain valuable insights into future-oriented technologies, practical applications, and the processes of vehicle development and production.
What can you expect?
- You will support the further development of an existing camera-based system for gap and misalignment testing in a production environment.
- Furthermore, you will contribute your in-depth knowledge in the field of AI and data analytics to the expansion of the existing system.
- Furthermore, you will contribute to an analysis using neural networks.
- Furthermore, you will conduct a thorough analysis of the improvement by incorporating customer studies.
- This gives you direct insight into the production and quality processes of a vehicle factory.
Table of Content
Summary
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Benefits
- Comprehensive mentoring and onboarding.
- Personal and professional development.
- Flexible working hours.
- Mobile working.
- Attractive & fair compensation.
- Apartments for students (subject to availability & only at the Munich location).
- And much more can be found at bmw.jobs/waswirbieten
Start date: earliest from 01.05.2026
Duration: 6 months
Working hours: Full-time
Requirements
- Studies in computer science, data science, engineering, or a comparable field of study.
- Interest in artificial intelligence, machine learning, and data analysis.
- Excellent programming skills (preferably Python) and basic software engineering knowledge.
- Experience with AI agent frameworks (orchestration, tool use, APIs).
- A structured approach and enthusiasm for practical work.
- Teamwork and communication skills, as well as analytical thinking and creativity.
- Good German and English skills.
Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Konrad Adenauer Foundation Scholarship
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
Bayerische Motoren Werke Aktiengesellschaft (BMW Group) on career5.successfactors.eu to apply
For more information, kindly visit BMW Group webpage.
