Promotion – Sicherheitsverträge für Physische KI
Core
Design and development of formal safety contracts and runtime interfaces for autonomous systems, bridging high-level decision-making with physical reality in vehicle motion control.
Role type
PhD Researcher (Safety Contracts & Control Theory)
Builds
Robust, modular autonomy stacks for autonomous driving and vehicle motion control
Domain
Automotive / Autonomous Systems / Control Theory / Machine Learning
Deliverable
production ML models
Required skills
Control theory, Optimization, Reinforcement Learning, Sequential decision making under uncertainty, Python programming, Machine Learning from real-world data
Preferred skills
German language skills
Technologies
Python, Reinforcement Learning frameworks
Responsibilities
Define precise assumptions, guarantees, and adaptation rules for modular autonomy stacks; derive feasibility margins and safety contracts from real-world data; translate research results into concrete applications for vehicle motion control; enable runtime verification of safety contracts.
