PhD - Safety Contracts for Physical AI
Core
Design and development of innovative safety contracts establishing formal runtime interfaces to ensure safe interaction between decision-making and control in autonomous systems.
Role type
PhD researcher in safety contracts for physical AI
Builds
Robust, high-performance solutions for vehicle motion control and autonomous driving
Domain
Autonomous driving, vehicle motion control, physical AI
Deliverable
production ML models | research
Required skills
optimization, control theory, Python programming, sequential decision-making under uncertainty, reinforcement learning, optimal control
Preferred skills
machine learning, real-world data analysis, modular autonomy stack design
Technologies
Python
Responsibilities
Define assumptions, guarantees, and adaptation rules for modular autonomy stacks; derive feasibility margins and safety contracts from real-world data; translate research findings into concrete applications for vehicle motion control; contribute to making learning-enabled autonomy modular by design and enabling verification at runtime.
Seniority
PhD candidate
