Summary
The Department of Electrical Engineering at TU/e is seeking a highly motivated PhD candidate to contribute to the RE-FLOW project, which focuses on developing AI-enabled reconfigurable robot collectives for effective crowd management in urban environments.
PhD in AI for Reconfigurable Robot Collectives, TU/e, Netherlands
Designation
PhD Candidate – AI for Reconfigurable Robot Collectives
Research Area
- Control Theory
- Robotics
- Applied Physics
- Computer Science
Location
Eindhoven, Netherlands
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Degree | Master’s in Robotics, Control Systems, Electrical Engineering, AI, Computer Science, Applied Mathematics, or a related field |
| Skills | Strong analytical and mathematical skills; experience in control, machine learning, or optimization; programming skills (preferably in Python); good communication skills. |
| Experience | Advantageous: Reinforcement Learning, Model Predictive Control, robotics, multi-agent systems |
Job Description
- Develop the intelligence layer for the RE-FLOW architecture.
- Design closed-loop flow-shaping approaches.
- Extract actionable information from crowd-flow observations by analyzing congestion patterns and indicating hazards.
- Generate high-level geometric configurations for robot collectives to ensure safe and efficient operation.
- Validate methods in simulation and on the RoboFlow robotic testbed.
How to Apply
Interested candidates should submit the following documents:
- Cover letter detailing motivation and qualifications.
- Curriculum vitae, including a list of publications and contact information for three references.
Note: Applications must be submitted online; applications sent via email or post will not be processed.
Last Date for Apply
July 11, 2026
For more details, please visit the TU/e scholarship webpage.
