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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)