PhD Generic AI Regression Models for Early Phase Crash Design (f/m/x) in Düsseldorf, Deutschland

... open hypothesis that a specialised G1-DSL is generated together with every G1. - Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. ...

... developing the next generation of autonomous systems. We are looking for a passionate and creative PhD candidate to join our team and help shape the future of AI-driven mobility. - You will develop a generic predictive occupancy model as the core representation of the driving scene, designing architectures that capture ...

... Strong fundamentals in Python and PyTorch - Hands-on experience with transformers, diffusion models, state space models etc. - Experience fine-tuning large models and building training/evaluation pipelines - Deep understanding of transformers, attention mechanisms, & optimization techniques - Comfort reading and implementing ...

... graphs from code. - Help build and clean (specification → architecture) datasets, including synthetic project generation. - Implement and evaluate baseline models (heuristic search, graph ML, or LLM generation) for single pipeline steps. - Benchmark models against shared datasets and metrics to compare approaches. - Build ...