PhD: Safe Learning‑Based Multi‑Robot Planning & Control

Cph Ai Hub; Aalborg; Hybrid; DKK 300,000 - 420,000; Full time

Job summary

Aalborg University invites applications for a PhD stipend in Safe Learning Based Multi-Robot Planning and Control under Connectivity Constraints, starting 1 February 2027, or soon after. The PhD Fellow will be based at the Automation and Control Section in Aalborg.

Based in Aalborg, the department conducts world-class robotics and AI research, with a focus on connecting mathematical ideas to real-world robotic systems and developing digital twins for visualization and autonomous decision-making.

Qualifications

• Master's degree in a relevant engineering/computer science field.
• Strong programming skills in Python and/or C++.
• Experience with ROS/ROS 2 and robotic software frameworks.
• Hands-on experience with physical robots, simulation, and testing.

Responsibilities

• Develop safe and resilient learning based planning, control, and coordination for multi-robot systems.
• Plan, implement, and adjust the research plan as needed.
• Design, implement, and evaluate algorithms in simulation and on real robots.
• Develop and apply digital twins with sensor data for real-time visualization and decision making.
• Publish results in journals and conferences and present at project meetings.

Skills

Python

C++

ROS/ROS 2

Robotics

Simulation

Hands-on engineering

English proficiency

Education

Master's degree in Robotics, Electrical Engineering, Control Engineering, CS

Tools

Gazebo

Isaac Sim

Webots

Job description

Aalborg University invites applications for a PhD stipend in Safe Learning Based Multi-Robot Planning and Control under Connectivity Constraints, starting 1 February 2027, or soon after. The PhD Fellow will be based at the Automation and Control Section in Aalborg.

Based in Aalborg, the department conducts world-class robotics and AI research, with a focus on connecting mathematical ideas to real-world robotic systems and developing digital twins for visualization and autonomous decision-making.