BMW Group PhD AI Driven Crash Simulation and Geometric Deep Learning 2026

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.

BMW Group is offering an exciting PhD position focused on AI-based crash predictions using 3D crash simulation techniques. The successful candidate will contribute to the development of innovative AI models and data-driven methods to improve the accuracy and efficiency of crashworthiness assessments in automotive safety engineering.
What awaits you?

• Develop AI models for vehicle crash behavior using modern geometrical AI architectures
• Integrate machine learning and data analytics approaches with physics-based simulations to improve prediction accuracy.
• Contribute to the development of automated workflows and optimization methods for crash simulations.
• Research in AI models for CAx (CAD, CAE etc.) applications in crash design process for cars

Table of Content

• Summary
• Benefits
• Requirements
• Application Deadline
• How To Apply

Summary

• Application DeadlineNot Specified
• Study LevelInternship
• SponsorBMW Group
• Eligible CountryAll Countries

Benefits

• 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

Earliest starting date: From now on

Duration: 36 months

Working hours: Part-time

Requirements

• University degree in engineering, computer science, mathematics, or an equivalent field.
• Experience in AI model development with a focus on geometrical deep learning, e.g. Graph Neural Networks, Geometric Transformers, Transolver architectures.
• Good understanding of CAx artifacts (3D geometry, simulation model, etc.) and related workflows used in product design and development.
• Solid background in numerical simulations, particularly with transient schemes.
• A track record of research contributions (publications, conference talks, or equivalent) is a plus.
• Business-fluent English; German language skills are a plus.

Check also:
2026 Fully Funded Humboldt Research Fellowship
2026 Eutopia PhD Co-tutelle Call

Application Deadline

How 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.