Research Fellow

Hours: Full time – 1.0 FTE (37.5 hours per week).

Requests for flexible working options will be considered (subject to business need).

Contract Type: Fixed term for 12 months

Applications must be received by midnight of the closing date.

Expected Interview date: TBC

Expected start date: October 2025

About the role

As a Research Fellow, you will join the Baden Lab, a highly collaborative and interdisciplinary neuroscience group within the School of Life Sciences at the University of Sussex. Our lab focuses on investigating how neural circuits process visual information and drive behaviour, primarily using zebrafish as a model system.

In this role, you will contribute to cutting-edge research using advanced 2-photon imaging, genetic tools, and custom behavioural assays. You will design and run experiments, analyse data using Python and IGOR, and support the maintenance of zebrafish colonies and bespoke experimental setups. You’ll be part of a dynamic environment that values open science, collaboration, and innovation.

About you

You will hold, or be close to completing, a PhD in Neuroscience, Biology, or a related field. You’ll have experience in 2-photon microscopy, strong programming skills (preferably Python and IGOR), and practical experience with zebrafish. You should be capable of managing multiple research projects, working independently, and contributing to a supportive team environment. A publication record in peer-reviewed journals and excellent communication skills are also essential.

We are particularly interested in applicants with innovative ideas and a keen interest in pushing the boundaries of imaging-based neuroscience research.

About our School

Please find further information regarding the School of Life Sciences on our website.

The School of Life Sciences is proud to hold a Silver Athena Swan Award. 

Why work here

Find out more about our reward and benefits package.

Find out about our equality, diversity and inclusion

Further Key Information

Please contact Madeleine Wells at m.e.wells@sussex.ac.uk for informal enquiries.

For full details and how to apply please click the 'Apply' button, above.

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.

The University requires that work undertaken for the University is performed in 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.

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