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PhD AI Driven Crash Simulation and Geometric Deep Learning

Germany, Munich · Job Posted April 16, 2026
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Job Description

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.

Job Responsibility

  • 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

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
  • Business-fluent English

Nice to have

  • A track record of research contributions (publications, conference talks, or equivalent) is a plus
  • German language skills are a plus

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)

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