Development of generative AI models for autonomous design space exploration in automotive engineering
Computational methods for evaluating and optimizing engineering designs against multiple constraints and objectives
Integration of symbolic and learning-based approaches for rule-based engineering formulation and synthesis
Application of generative techniques to physical design problems (components, structures, systems in powertrain and vehicle development)
Collaboration with academic partners on explainability and transparency in generative AI systems
YOUR PROFILE:
Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software Engineering, or a closely related discipline, with completion by August 2026 at the latest and eligibility for admission to a doctoral program are required
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