Research Associate in Robotics (two posts available)
Role Overview & Responsibilities
Two Research Associate in Robotics and Artificial Intelligence (AI) are required to work on the UKRI/EPSRC project “Trustworthy Autonomous Systems Node on Trust”. This is a collaborative project of the University of Manchester’s Cognitive Robotics Lab with Heriot-Watt University Edinburgh and Imperial College London. The post will also be part of the US THRIVE++ project on trust and theory of mind.
The candidates will carry out research on robot cognitive architectures for theory of mind and trust, using a combination of machine learning and robotics methodologies. A PhD (or equivalent) in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, as well as robotics and/or machine learning skills.
The research associates will be working collaboratively as part of the Cognitive Robotics Lab at the Department of Computer Science at the University of Manchester under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Blended working arrangements may be considered
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Angelo Cangelosi
Email: angelo.cangelosi@manchester.ac.uk
General enquiries:
Email: People.Recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
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