PhD Candidate in AI-Driven Crash Simulation and Geometric Deep Learning | PhD AI Driven Crash Simulation and Geometric Deep Learning (f/m/x)
BMW AG
Job Summary
This PhD position at the BMW Group offers a unique opportunity to bridge academic research with industrial application in automotive safety engineering. The successful candidate will focus on developing innovative AI models for vehicle crash behavior, specifically utilizing geometric deep learning architectures. Day-to-day responsibilities include integrating machine learning with physics-based simulations, researching AI applications for CAx workflows, and contributing to automated crash simulation optimization. Candidates will work within a professional, mentored environment, applying scientific expertise to real-world automotive challenges. The role is ideal for individuals with a strong background in engineering, computer science, or mathematics who are eager to advance mobility technology. The position is structured as a 36-month program featuring comprehensive mentoring, flexible working arrangements, and the chance to shape future safety design processes at a global premium automotive manufacturer.
Required Skills
Education
University degree (Master's level or equivalent) in engineering, computer science, mathematics, or a related field.
Experience
- Professional experience in AI model development with a focus on geometric deep learning
- Solid background in numerical simulations, particularly with transient schemes
- Practical understanding of CAx artifacts, including 3D geometry and simulation models
- Research experience demonstrated through publications or conference contributions is considered a strong advantage
Languages
Additional
- Valid residence or work permit required for non-EU citizens for the full 36-month duration of the program.
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