Research Fellow in Computational Neuroscience and Bio-Inspired Artificial Intelligence

We are looking for a post-doctoral research fellow to join our team working on bio-inspired AI and computational modelling of insect behaviour and learning. You will join a BBSRC funded project called “Emergent embodied cognition in shallow neural networks”.

Your primary role will be to develop simulations of learning problems that insects face such as flower learning or navigation. Insect learning occurs rapidly within shallow neural networks. This is possible because learning is an active process emerging from the interaction of evolved brains, sensory systems and behaviours. We will explore how behavioural strategies and specialised sensors interact with learning success.

You will work under the supervision of Prof Paul Graham (School of Life Sciences) and Professors Andrew Philippides and Thomas Nowotny (Department of Informatics). You will join an active team of research fellows and PhD students working on similar topics.

Please contact Prof Paul Graham, p.r.graham@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.

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

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