Research Fellow Ref 8453

School/department: School of Engineering and Informatics
Hours: Full 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. Some international travel to conferences or workshops may be required. 
Contract: fixed term until 30 September 2023 in the first instance
Reference: 8453
Salary: starting at £34,304 to £40,927 per annum, pro rata if part time
Placed on: 12 April 2022
Closing date: 17 May 2022.  Applications must be received by midnight of the closing date.
Expected interview date: TBC
Expected start date: 01 July 20222

Job description

We are looking for a post-doctoral research fellow to join our team working on the final phase of the Human Brain project. You will be joining a dynamic team currently working on three areas

  • A human-robot co-working demonstrator that is entirely based on neuromorphic spiking neural network technology in collaboration with the team of Dr Jörg Conradt at KTH Stockholm,
  • Bio-compatible learning rules that emulate gradient descent in collaboration with the team of Dr Petrovici at University of Bern,
  • “SPIKEFERENCE” - Spike-driven deep active inference for sequential goal behaviours in collaboration with the team of Dr Lanillos at the Donders Centre, Radboud University Nijmegen.

We are looking for a researcher with strong technical skills in Python, C++ or CUDA and experience in (spiking) neural networks, bio-inspired AI, neuromorphic computing or related areas.

You will conduct research in these areas with opportunities to set your own priorities within the project.

Please contact Prof Thomas Nowotny, 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.

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 8453 [PDF 161.22KB]

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.

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