PhD: Safe Long-Horizon Robot Planning under Uncertainty
Delft University of Technology
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Job summary
TU Delft's Cognitive Robotics Department invites applications for a PhD position focusing on safe planning and decision-making under uncertainty for long-horizon robot autonomy within the EU-funded OPERA consortium. You will develop planning methods, analyze guarantees, and validate them in simulation and on real robots, under Prof. Babuška and Dr.
Ferranti. You will collaborate with OPERA partners across Europe, with supervision through the TU Delft Graduate School, in a 4-year employment
Qualifications
- MSc degree in Systems and Control, Robotics, Applied Mathematics, or closely related field.
- Strong interest in safe planning and decision-making for robots at long horizons.
- Rigorous, theoretically grounded research with ability to validate ideas in simulation and on real robots.
- Excellent communication skills and proficiency in English.
- Experience with optimization-based planners or controllers (e.g., MPC with CasADi or Acados) is a plus.
- Experience with ROS or ROS 2 is desirable.
Responsibilities
- Develop planning and decision-making methods for long-horizon safe robot autonomy.
- Analyze guarantees and failure modes and validate approaches in simulation and on real robots.
- Collaborate with OPERA partners and contribute to GPAI-powered planning tasks.
Skills
Education
Tools
Job description
TU Delft's Cognitive Robotics Department invites applications for a PhD position focusing on safe planning and decision-making under uncertainty for long-horizon robot autonomy within the EU-funded OPERA consortium. You will develop planning methods, analyze guarantees, and validate them in simulation and on real robots, under Prof. Babuška and Dr.
Ferranti. You will collaborate with OPERA partners across Europe, with supervision through the TU Delft Graduate School, in a 4-year employment
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