Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why the ProMotion PhD programme gives you the opportunity to apply your passion and scientific expertise to very real challenges that could shape the future of mobility. If selected, you’ll have the chance to really develop your own future career path with BMW Group through your practice-related thesis, promote your chosen specialty from within – and position yourself to secure the career you’ve always wanted.
As a PhD student in the team at BMW Group, you contribute to AI-based crash video evaluation using vision-language models. You support the development of innovative AI models and data-driven methods that help improve the accuracy and efficiency of crashworthiness assessments in automotive safety engineering.
What awaits you?
- You support the development of AI models for vehicle crash behavior using modern geometric AI architectures.
- Together with the team, you help integrate machine learning and data analytics approaches with physics-based simulations to improve prediction accuracy.
- You also contribute to the development of automated workflows and optimization methods for crash simulations.
- Within the project, you support research on AI models for CAx (CAD, CAE, etc.) applications in the crash design process for cars.
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PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses (f/m/x) PhD Studentship
Aim and Benefits of PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses (f/m/x) PhD Studentship
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive & fair remuneration.
- Annual special payments such as vacation pay and Christmas bonus.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits – see bmw.jobs/benefits
Start date: From now on
Duration: 36 months
Working hours: Part-time
Requirements for PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses (f/m/x) PhD Studentship Qualification
- Master’s degree in Engineering, Computer Science, Mathematics, or a related field.
- Extensive knowledge of computer vision and multimodal / vision-language models, e.g. transformers or CLIP-type architectures.
- Experience with data preprocessing, annotation workflows, and large multimodal datasets, including images, videos, and point clouds.
- A track record of research contributions, such as publications or conference talks, is a plus.
- Business-fluent English; German language skills are a plus.
Application Deadline
Not SpecifiedHow to Apply
Interested and qualified? Go to
Bayerische Motoren Werke Aktiengesellschaft (BMW Group) on career5.successfactors.eu to apply
For more information, kindly visit BMW Group webpage.
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