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Position: Research Fellow in Computational Cognitive Neuroscience
Institution: University of Sussex
Location: Falmer, East Sussex, United Kingdom
Duties: 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
Requirements: The successful candidate will come from a numerate background and have programming experience
   
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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 c.l.buckley@sussex.ac.uk 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 enginfrecruitment@sussex.ac.uk You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs 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. Download our terms and conditions summary for Research faculty [PDF 11.39KB] You might also be interested in: jobs our selection process how to get here. About us Rankings and figures Our structure Strategy and funding Culture, equality and inclusion How tuition fees are spent Jobs Working at Sussex How to apply Our selection process How to accept our job offer Jobs at other public sector employers Research Fellow in Computational Cognitive Neuroscience Ref 10101 Term dates How to get here Our campus Sussex in the community Creating a sustainable university Teachers’ conferences Improving access to higher education Recruit our graduates and students Using our website Working with the University: Procurement University of Sanctuary 60 years of Sussex Twitter Facebook Instagram YouTube Vimeo University of Sussex Sussex House, Falmer Brighton, BN1 9RH United Kingdom Course and application enquiries: Ask us a question General enquiries: 44 (0)1273 606755 information@sussex.ac.uk Copyright © 2022, University of Sussex Accessibility Privacy Cookies Back to top
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