Research Associate - Social AI & Robotics (SAIR) Lab

London (Central), London (Greater) (GB)
Grade 6, £38,304 to £40,414 per annum inclusive of £3,500 London Weighting Allowance per annum
Thursday, 22 October 2020
End of advertisement period
Wednesday, 18 November 2020
Contract Type
Fixed Term
Full Time

A Postdoctoral Research Associate position is available in the Social AI & Robotics (SAIR) Lab, Centre for Robotics Research, Department of Engineering to work with Dr Oya Celiktutan and her collaborators on the project titled “LISI - Learning to Imitate Nonverbal Communication Dynamics for Human-Robot Social Interaction” awarded by EPSRC. The main objective of the LISI project is to set the basis for the next generation of robots that will be able to learn how to interact with humans purely from visual observations. The candidate will perform research in the areas of machine learning and human-robot interaction. For more information about the project, please refer to

The candidate should be motivated, creative and ambitious. They should be enthusiastic about collaborating with partners from multiple disciplines/industry as well as PhD students in the SAIR Lab. Key requirements include:

  • PhD degree (or shortly expect to receive) in Engineering, Computer Science, Robotics, or related field;

  • Strong background in machine learning, with specialisation in one or more of the following areas: human-robot interaction, computer vision, human behaviour analysis, weakly supervised/unsupervised/self-supervised learning, spatio-temporal graphs, deep reinforcement learning.;

  • Excellent publication record in high-quality journals and/or conference proceedings;

  • Excellent programming skills, particularly, Python and/or C/C++. Hands-on experience with deep learning libraries (e.g., TensorFlow, PyTorch) and/or physical robots will be a plus;

  • Ability to organise and prioritise work to meet deadlines with minimal supervision;

  • Excellent interpersonal / teamwork skills.

The Centre for Robotics Research (CORE) brings together expertise in sensing, high-precision manipulation, machine learning, intelligent control and human-robot interaction to develop creative robotics approaches to society’s most critical challenges. The candidate will be a member of the SAIR Lab ( and will contribute to ongoing research activities in the areas of computer vision, machine learning and human-robot interaction, while benefiting from a strong network of researchers working in allied areas at CORE. For information about the department, please see

In addition to completing the online application, candidates should attach:

  • Curriculum vitae with a full list of publications;

  • Contact details of three referees;

  • Two-page summary of research background, interests, and how they aim to contribute to the LISI project;

  • Two papers (either published, accepted for publication, or in-preparation) demonstrating expertise in one or more of the areas mentioned above;

  • The expected date of graduation (if currently pursuing a Ph.D).

This post will be offered on a fixed-term contract for 2 years (24 months).

This is a full-time post.*

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