PhD: Safe Multi-Robot Planning & Connectivity-Aware Control

Aalborg University; Aalborg Kommune; On-site; DKK 312,000 - 357,000; 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, based at the Automation and Control Section in Aalborg, the PhD combines theoretical research with hands-on engineering in autonomous robotic systems.

You will develop algorithms, implement robotics software, and validate them through simulation and experiments with physical robots, contributing to the ROX6G Horizon project

Qualifications

• Master's degree in Robotics, EE, Control Eng, or CS.
• Strong foundation in robotics, autonomous systems, planning, and/or control theory.
• Experience with Python and/or C++, ROS/ROS 2, and practical robotic systems.

Responsibilities

• Develop safe, learning-based planning and coordination for multi-robot systems.
• Design, implement, and test algorithms in simulation and on real robots.
• Contribute to digital twins by integrating sensor data for real-time visualization.
• Publish results in leading journals and conferences; present at project meetings.

Skills

Python

C++

ROS/ROS 2

Autonomous systems

Education

Master's degree in Robotics, Electrical Engineering, Control Engineering, or Computer Science

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, based at the Automation and Control Section in Aalborg, the PhD combines theoretical research with hands-on engineering in autonomous robotic systems.

You will develop algorithms, implement robotics software, and validate them through simulation and experiments with physical robots, contributing to the ROX6G Horizon project