Promotion – Sicherheitsverträge für Physische KI
Core
Design and development of innovative safety contracts for physical AI, establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems.
Role type
PhD Researcher (Physical AI Safety Contracts)
Builds
Robust, modular autonomy stacks for vehicle motion control and autonomous driving
Domain
Automotive / Autonomous Driving / Control Theory
Deliverable
production ML models | research
Required skills
optimal control, sequential decision making under uncertainty, reinforcement learning, machine learning from real-world data, Python programming
Preferred skills
formal runtime verification, modular system design
Technologies
Python
Responsibilities
Define precise assumptions, guarantees, and adaptation rules for modular autonomy stacks; derive feasibility margins and safety contracts from real-world data; bridge the gap between high-level decisions and physical reality; enable runtime verification.
Seniority
PhD Candidate / Researcher
