Research Fellow in Computational Cognitive Neuroscience Ref 10101

School/department: School of Engineering and Informatics
Hours: Full time
Requests for flexible working options will be considered (subject to business need).
Contract: The contract is fixed term for 24 months. However, it has the possibility to be extended for a further 24 months.
Reference: 10101
Salary: starting at £34,304 to £40,927 per annum, pro rata if part time
Placed on: 11 November 2022.  
Closing date: 09 December 2022. Applications must be received by midnight of the closing date.
Expected start date: As soon as possible

Job description

A Research Fellowship is available at the University of Sussex in the groups of Prof. Christopher L Buckley and Prof. Anil K Seth (Department of Informatics and Centre for Consciousness Science) on the EU-funded project entitled  “A metapredictive model of synthetic awareness for enabling tool invention (METATOOL)”. The METATOOL project is a ground-breaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on predictive processing (metacognition) and validating its utility in real robots in the context of conditional sequential tasks (tool use) and tool creation.

You will work within our labs which have expertise in the technical, theoretical, and experimental aspects of Bayesian approaches to cognition. This particular project will pursue an understanding of tool creation within the framework of active inference and predictive processing. It will involve theoretical development, computational models, and collaboration with roboticists. The successful candidate will come from a numerate background and have programming experience.

The bulk of the work will be carried out on the beautiful Falmer campus of the University of Sussex on the outskirts of the lively South Coast town of Brighton. As part of the project, you will present at international conferences and have a chance to visit collaborators across the EU. 

Please contact in the first instance for informal enquiries.

​​The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.

 Please note that this position may be subject to ATAS clearance if you require visa sponsorship.

The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.

You can find out more about our values and our EDI Strategy,  Inclusive Sussex, on our webpages.

Download job description and person specification Ref 10101 [PDF 212.55KB]

The University requires that work undertaken for the University is performed from the UK. 

Visa Sponsorship Queries:

 This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time. Please consult our Skilled Worker Visa information page  for further information about Visa Sponsorship.

How to apply

Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.

Email your completed application, and personal details and equal opportunities form, to  

You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as or .pages) and use the format job reference number / job title / your name in the subject line.

You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.

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