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

Aalborg University

Aalborg

On-site

DKK 320,000 - 360,000

Full time

3 days ago
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Job summary

Aalborg University’s Department of Electronic Systems invites applications for a PhD stipend in Safe Learning Based Multi-Robot Planning and Control, under Connectivity Constraints, starting 1 February 2027. The PhD Fellow will be based in the Automation and Control Section at AAU in Aalborg.

The ROX6G EU Horizon project supports autonomous robotic systems, 5G/6G connectivity, and digital-twin development. The PhD candidate will create theoretical, algorithmic, and real-time implementations and

Qualifications

  • Master's degree required in Robotics, Electrical Engineering, Control Engineering, Computer Science or closely related field.
  • Strong programming skills in Python and/or C++.
  • Experience with ROS/ROS 2 and robotic software frameworks.
  • Hands-on experience with physical robot platforms, simulation, and experimental setups.

Responsibilities

  • Conduct research on safe and resilient learning-based planning and coordination of multi-robot systems.
  • Develop algorithms, implement software, and evaluate in simulation and on physical robots.
  • Publish results in international journals and conferences and present findings at project meetings.
  • Collaborate with international partners on ROX6G Horizon project activities.

Skills

Python
C++
ROS/ROS 2
Robotics software

Education

Master’s degree in Robotics, Electrical Engineering, Control Engineering, Computer Science, or closely related field

Tools

Gazebo
Isaac Sim
Webots

Job description

Aalborg University’s Department of Electronic Systems invites applications for a PhD stipend in Safe Learning Based Multi-Robot Planning and Control, under Connectivity Constraints, starting 1 February 2027. The PhD Fellow will be based in the Automation and Control Section at AAU in Aalborg.

The ROX6G EU Horizon project supports autonomous robotic systems, 5G/6G connectivity, and digital-twin development. The PhD candidate will create theoretical, algorithmic, and real-time implementations and

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