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

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

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

BMW AG

Automobile und Zweiräder

München

  • Art der Beschäftigung: Teilzeit
  • 65.500 € – 85.500 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

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

Über diesen Job

Data Science München 22.09.2026

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

THE FUTURE IS WHAT WE CREATE WHEN WE TAKE OUR VISIONS TO THE LIMITS.

PHD AT THE BMW GROUP.

Bridging the gap between your doctoral studies and the kind of career challenge you’re looking for isn’t always easy. That’s why our 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 us 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 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.

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

com.bmw.grpw.core.models.jobfinder.IdDisplayItem@60b2ac2d
20260922
Automotive
München
Deutschland
Unternehmensbereich:
BMW AG
Standort:
München
Arbeitsbereich:
Data Science
Job ID:
195225
Veröffentlichungsdatum:
22.09.2026
Nachwuchsprogramme
Teilzeit
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JETZT BEWERBEN

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BMW AG

Automobile und Zweiräder

10.001 oder mehr Mitarbeitende

München, Deutschland

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