PhD: Safe, Learning-Based Multi-Robot Planning

Aalborg University; Denmark; On-site; DKK 334,000 - 384,000; Full time

Job summary

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

The project spans robotics, AI, and 5G/6G connectivity with real-world experiments. The role combines research with hands-on engineering, developing algorithms, simulating in digital twins,

Qualifications

• Master’s degree required in Robotics, Electrical Engineering, Control Engineering or Computer Science.
• Strong programming skills in Python and/or C++.
• Familiarity with robotic software frameworks such as ROS/ROS 2 to implement and test robotic systems.

Responsibilities

• Conduct research on safe and resilient learning-based planning, control and coordination of multi-robot systems.
• Design, implement and evaluate algorithms in simulation and on physical robots.
• Develop digital twins by integrating sensor data for real-time visualization and decision making.
• Publish results in journals and conferences and present findings at meetings.

Skills

Robotics

Python

C++

ROS/ROS2

Control theory

Education

Master’s degree in Robotics or related field

Tools

Gazebo

Webots

Isaac Sim

Job description

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

The project spans robotics, AI, and 5G/6G connectivity with real-world experiments. The role combines research with hands-on engineering, developing algorithms, simulating in digital twins,