One Research Associate in Robotics is required for a period of 30 months, to work on the UKRI/EPSRC Prosperity project “CRADLE”.
A PhD (or equivalent) in Computer Science, Robotics, Artificial Intelligence or allied disciplines is required. Excellent programming skills are essential, together with a strong publication track record and robotics and/or machine learning skills. Previous experience of research projects on human-robot collaboration or cognitive robotics is a desirable skill.
The research fellows will be working collaboratively as part of the Cognitive Robotics Lab and the Manchester Centre for Robotics and AI, under the supervision of Professor Angelo Cangelosi. Close collaboration with the other project partners will also be required.
Expected start date of the post is 1 November 2024.
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.
The Department of Computer Science is strongly committed to promoting equality and diversity, including the Athena SWAN Charter for gender equality in higher education. The School holds a Bronze Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff to achieve a good work-life balance.
We particularly welcome applications from women and other under-represented groups for this post. Appointment will always be made on merit. For further information, please visit https://www.cs.manchester.ac.uk/connect/social-responsibility/responsible-processes/
The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community.
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: Professor Angelo Cangelosi
Email: angelocangelosil@manchester.ac.uk
General enquiries:
Email: People.Recruitment@manchester.ac.uk
Technical support:
Jobtrain: 0161 850 2004 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.
