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BMW Group · Munich

# PhD Explainable VLMs for Anomaly Detection in Crashworthiness Analyses (f/m/x)

Munich 

Listed on BMW Group’s official careers site. Listed as of October 13, 2026. Check that it is still open and apply there.
[Apply on BMW Group’s careers site →](https://jobs.bmwgroup.com/job/Munich-PhD-Explainable-VLMs-for-Anomaly-Detection-in-Crashworthiness-Analyses-%28fmx%29-BY-80809/1440047933/)

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## Job description

As a PhD student in our team at the 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. What should you bring along? 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. Are you motivated and keen to help us shape the mobility of tomorrow?

Apply now! Find out more about Artificial Intelligence at the BMW Group here.

### Note

Please apply exclusively online through our career portal. Applications submitted via other channels (including email) cannot be considered. Citizens of countries outside the European Union must have a valid residence or work permit for the duration of the program. If you make it to the next round, you will receive an invitation to a video interview by e-mail. Please also check your spam folder regularly. What do we offer?

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 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.

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 13, 2026
- Last checked: Oct 13, 2026
- Listed for: Under a day
- Location: Munich[Apply on BMW Group’s careers site →](https://jobs.bmwgroup.com/job/Munich-PhD-Explainable-VLMs-for-Anomaly-Detection-in-Crashworthiness-Analyses-%28fmx%29-BY-80809/1440047933/)

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