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Postdoctoral Research Assistant in Legged Locomotion and Manipulation with Deep Reinforcement Learning


Grade 7: £33,309 -£40,927 per annum

Closing date

Feb 03, 2022 12:00PM


We 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. The post is funded by AWS and is fixed-term of 9 months. 


The project will develop locomanipulation approaches suitable for legged robots in the context of industrial facilities. The goal is to further develop our mobility and manipulation approaches, that are capable of utilizing different modes of locomotion and limbs to adapt to different scenarios, and close the loop with online perception. This position will focus on using and developing deep reinforcement learning approaches. 


You will be responsible for the design, development, implementation and evaluation of RL-based locomanipulation methods suitable for legged locomotion in physically realistic simulated environments and on real quadruped robots. 


You should 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 legged locomotion; path and motion planning, whole-body control, multi-contact locomotion, machine learning and optimisation, avatar animation or related areas. You have experience working on real robots and great team working skills. 


Informal enquiries may be addressed to Dr. Ioannis Havoutis - 


For more information about working at the Department, see 


Only applications received before midday on the 3rd February 2022 can be considered. You will be required to upload a covering letter/supporting statement, (describing how past experience fit with the advertised position), CV and the details of two referees as part of your online application.

Contact name

Dr. Ioannis Havoutis

Contact email