PhD AI Driven Crash Simulation and Geometric Deep Learning (f/m/x)

PhD Position: AI-Based Crash Predictions

Our ProMotion PhD programme offers you the opportunity to apply your passion and scientific expertise to real challenges that could shape the future of mobility.

Responsibilities

• 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 AI models for CAx applications in the crash design process for cars.

Qualifications

• 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, or Transformer 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.

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:

Duration: 36 months

Working hours: Part‑time

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.