Research Associate in Human-Centred Artificial Intelligence for Assistive Technology

Fixed term contract - 2 years

Full time - 35 hours per week

The School of Informatics is seeking a Research Associate in Human-Centred Artificial Intelligence for Assistive Technology. This post will be part of the Centre for AI for Assistive Autonomy, a mission-driven research centre established using a UKRI Turing AI World Leading Researcher Fellowship awarded to Prof Subramanian Ramamoorthy.

The opportunity:

The post-holder will be part of a foundations team within the Centre, whose focus will be on fundamental investigations into generative modelling of the full stack of human behaviour, from sensorimotor control to higher level cognitive decision making, to enable the development of person-centred and teachable autonomous systems within domains including assistive technologies for activities of daily living, task level autonomy in surgical robotics and autonomous vehicles.

It is also expected that the post holder will contribute to the development of new assets in the form of data and model libraries as well as experimental platforms for assistive technology. This will form the basis for collaboration with other researchers focussing on developing applications within domain-specific laboratories, and industrial partners aligned with these application areas.

Your skills and attributes for success: (insert up to 5 top criteria)

• A PhD (or near completion) in AI, robotics and/or neurotechnology, with a strong focus on human-centred AI for autonomous systems
• An excellent track record of publications in top-tier journals (e.g. IEEE Trans. or broad-interest science venues) and/or conferences in AI (e.g. IJCAI, AAAI, NeurIPS, ICML, ICLR), robotics (e.g. R:SS, CoRL, ICRA) or biomedical engineering (e.g. EMBC)
• Excellent proven experience of developing human-in-the-loop robotics and autonomous systems
• Ability to work effectively as part of a team, to meet deadlines, and to report on project progress
• Ability to communicate complex information clearly, orally and in writing

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