BMW AG
80809 München - Deutschland
Informatiker/in
Arbeit
Vollzeit
ab 28.07.2026
Beschreibung
Stellenreferenz: 182014
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
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 opportun... weiter lesen
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
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 opportun... weiter lesen
Stellenreferenz: 182014
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
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.
We are 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
What should you bring along?
- 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.
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.
What 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
Earliest starting date : 01.05.2026
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 .
Our brands BMW, MINI, Rolls-Royce and BMW Motorrad have made us one of the world's leading premium manufacturer of cars and motorcycles as well as provider of premium financial and mobility services.
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.
We are 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
What should you bring along?
- 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.
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.
What 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
Earliest starting date : 01.05.2026
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 .
Ref-Nr.: 12237885
Aktualisiert:
30.07.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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