Research Fellow

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, using diverse vertebrate species as model systems.

In this role, you will contribute to cutting-edge research using scRNA-seq and related techniques to investigate the molecular identity and evolutionary relationships of retinal neurons in early diverging vertebrates. You will design and run experiments, analyse data using Python. 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 scRNA seq. techniques, strong programming skills (preferably Python), and practical experience with vertebrate retinal research. 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 Swann Award. 

Why work here

Sussex is a renowned, multi-accredited, research-led International University and this is only possible because of the people that work here. Whether you are a member of Faculty, part of a Professional Services team or a Student, it’s our people that make us great and we want you to be part of that.

Find out more about our reward and benefits package.

Find out about our equality, diversity and inclusion

Further Key Information

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

For full details and how to apply, 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 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 and appointed at Grade 7.4.

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