A Postdoctoral Research Associates in Robotics and Computational Neuroscience is required for a period of 42 months to work on the Horizon/InnovateUK project “PRIMI: Performance in Robots Interaction via Mental Imagery. This is a collaborative project of the University of Manchester’s Cognitive Robotics Lab with various academic and industry partners in the UK and Europe. PRIMI will synergistically combine research and development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics to build developmental models of higher-cognition abilities – mental imagery, abstract reasoning, and theory of mind – boosted by energy- efficient event-driven computing and sensing.
The candidate will carry out research on robot neuro/cognitive architectures, using a combination of machine learning and robotics methodologies. This post requires expertise in computational neuroscience (e.g. spiking neural networks) for robotics. A PhD 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. Previous experience and publication track record in robot cognitive modelling is an essential requirement.
The research fellow 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.
Expected start date of the post is 1 April 2024.
What you will get in return:
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.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor 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.
