Research Fellow in bio-inspired AI Ref 9639

School/department:  School of Engineering and Informatics/Informatics
Hours: Full time or part time hours considered up to a maximum of 1.0 FTE
Requests for flexible working options will be considered (subject to business need).
The position involves team work and frequent interactions with team members. This includes team work with mobile robots in fieldwork settings in the areas around Brighton. Some international travel to conferences or workshops may be required. 
Contract: fixed term until 31 August 2024 in the first instance
Reference: 9639
Salary: starting at £35,333 to £42,155 per annum, pro rata if part time
Placed on: 05 September 2022
Closing date: 23 September 2022. Applications must be received by midnight of the closing date.
Expected Interview date: TBC
Expected start date: 01 November 2022


Job description

We are looking for a post-doctoral research fellow to join our team working on a commercial research contract in the area of bio-inspired navigation. You will be joining a dynamic team working in the areas of insect navigation and decision making, bio-inspired navigation and more generally bio-inspired AI, including machine learning with spiking neural networks.

We are looking for a researcher with strong technical skills in Python and/or C++ and experience in robotics fieldwork, bio-inspired AI, neuromorphic computing or related areas.

Please contact Prof Thomas Nowotny,  T.Nowotny@sussex.ac.uk 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 9639 [PDF 223.53KB]

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.


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