(Senior) AI Scientist (m/f/d)

Develop simulation environments and reinforcement learning methods for robotics and mechatronics systems. Research neural generative reasoning over formal, ontology-constrained representations using transformer or diffusion architectures. Design constraint-aware combinatorial and graph search methods that integrate neural proposal operators with deterministic solvers and physics-based simulations. Work on causal modeling, physical plausibility, and cross-domain constraint propagation within a typed engineering ontology. Generate and validate synthetic, physically-grounded training data for rare or safety-critical engineering scenarios. Publish internally and externally to contribute to scientific credibility in the field. This role requires a PhD in Machine Learning, Computer Science, Physics, or Applied Mathematics with strong publication records in advanced AI and generative modeling.