Postdoctoral Research Assistant in Multi-Robot Scouting Closing date
Listed on 2026-09-18
-
Engineering
Robotics -
Research/Development
Robotics
Location
Oxford, United Kingdom
TitlePostdoctoral Research Assistant in Multi-Robot Scouting
Salary39424 - 47779
Closing dateSep 30, 2026 12:00PM
Contract typeFull-time, Fixed-term 24 months
DescriptionWe are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group of the Oxford Robotics Institute and the Department of Engineering Science in central Oxford. This project is funded by the European Space Agency (ESA) and is and is fixed-term for 24 months.
The project "TMNT - Threat Monitoring Networked Team" will develop multi-robot scouting approaches to explore and interact with a set of challenging scenarios. This project is funded by the European Space Agency (ESA) and is in collaboration with Autodiscovery. TMNT will focus on a team of highly mobile Unitree A2 legged/wheeled robots, equipped with manipulators, sensing and networking payloads. The project will build approaches to collaborative exploration to enable efficient mapping and monitoring of a previously unknown environment.
The scenarios range from planetary exploration, with a deployment planned for the ESA Luna Facility, to industrial and commercial settings. This position will focus on using and developing learning-based perceptive approaches.
You will develop learning and/or optimization based approaches to multi-robot path and motion planning and coordination, integrating multi-modal perception and online state estimation. Part of the project will include locomotion in challenging terrain and interaction/manipulation with the environment. You will be responsible for the design, development, implementation and evaluation of multi-robot scouting methods suitable for wheeled-legged systems in physically-realistic simulated environments and on real robots.
You will hold or be close to completion of a PhD/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path and motion planning, whole-body control, multi-contact manipulation/locomotion, machine learning and optimization, avatar animation or related areas. You have experience working on real robots and great team working skills.
Robotics, legged/legged-wheeled, loco-manipulation, scouting, multi-robot coordination
For more information about working at the Department, see
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
ContactProf Ioannis Havoutis (email: I)
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