Research Associate in Human-Robot Interaction

UE07: £40,247.00 - £47,874.00 Per Annum.

CSE / School of Informatics.

Fixed Term Contract - 2 Years.

Full Time - 35 Hours Per Week.

The Opportunity:

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 post-holder will be the lead researcher anchoring laboratory activities in the area of human-robot interaction for assistance with activities of daily living. This represents one of the main application themes within the centre, alongside task level autonomy in surgical robotics and autonomous vehicles. This work benefits from parallel work of a foundations team, 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. 

Your skills and attributes for success: 

Essential:

• A PhD (or near completion) in robotics, preferably with a focus on robot learning
• 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 allied areas
• Excellent proven experience of developing field robotics systems in complex environments 
• 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.

Desirable:

• Research experience with machine learning in human-robot interaction domains
• Research experience with real-time perception and scene understanding methods based on state-of-the-art machine learning methods
• Hands-on experience of designing and conducting field experiments, including human subject studies 
• Demonstrated experience of the development and management of projects involving multiple stakeholders.

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