PhD in Underground Multi-Robot Safety & Learning

Vagomet Oy | Go On Hämeenlinna

Aalborg

On-site

DKK 357,000 - 469,000

Full time

6 days ago

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Job summary

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

The ROX6G project focuses on autonomous robotic systems for exploring hazardous underground mines with 5G/6G connectivity and digital twins.

Qualifications

Master's degree in Robotics, Electrical Engineering, Control Engineering, Computer Science, or a closely related field.
Strong programming skills in Python and/or C++.
Familiarity with ROS/ROS 2.
Ability to implement, integrate, test, and troubleshoot robotic systems.
Hands-on work with physical robot platforms, sensors, simulation, and experimental setups.

Responsibilities

Conduct research on safe and resilient learning based planning, control, and coordination of multi-robot systems operating under constraints and uncertainty.
Actively contribute to the formulation and refinement of research questions within the doctoral project.
Take an active role in planning, implementing, and, when necessary, adapting the research plan.
Design, implement, and evaluate the developed algorithms in realistic robotic simulation environments and on physical robotic platforms.
Contribute to the development and implementation of digital twins by integrating robotic sensor data, to support real-time visualization, monitoring, and autonomous decision-making.
Publish research results in leading international journals and conferences, and present findings at project meetings and international scientific venues.