Job Description

Postdoctoral Research Assistant in Robot Learning
Oxford Robotics Institute, the George Building, 23 Banbury Road Oxford OX2 6NN

We are seeking exceptional candidates for a full-time Postdoctoral Research Assistant to join the Applied Artificial Intelligence Lab (A2I) at the Oxford Robotics Institute in the Department of Engineering Science. The post is externally funded and is fixed term for 12 months in the first instance.

A2I explores core challenges in AI and Machine Learning to enable robots to robustly and effectively operate in complex, real-world environments. This role is an integral part of our EPSRC Programme Grant in Embodied Intelligence and will involve both theoretical and practical work in the context of real-world robot learning.

The successful candidate will advance the state-of-the-art in machine learning and robotics with a particular research focus on planning in structured latent spaces and generative world-models applied to robot manipulation and locomotion. A key application focus of the grant lies in rapid and safe real-world skill acquisition in application domains such as collaborative manufacturing, social care, inspection, logistics and agriculture.

You should possess a Ph.D (or be near completion) in robotics / robot learning. Expertise in deep generative models is essential, ideally coupled with expertise in planning for robot manipulation and/or locomotion. Further, essential are a strong publication record in the primary field of research and familiarity with the existing literature and research in the field, as well as a proven track record of deploying machine learning models on real-world robot platforms.

Experience in reinforcement learning is desirable, as well as proven software and debugging skills in Python and/or C++.

Informal enquiries may be addressed to Prof. Ingmar Posner (email: ingmar@robots.ox.ac.uk)

For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/

Only applications received before midday on the 26th September 2023 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 Person : Prof. Ingmar Posner Vacancy ID : 167946
Contact Phone : Closing Date & Time : 26-Sep-2023 12:00
Pay Scale : STANDARD GRADE 7 Contact Email :
Salary (\xc2\xa3) : Grade 7: \xc2\xa336,024 -\xc2\xa344,263 per annum

University of Oxford