University of Exeter
1 week ago
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PhD Studentship: How Neurons Shape Astrocytes: Decoding Cell-to-Cell Communication in Brain Development University of Exeter in United Kingdom
Degree Level
PhD
Field of study
Biology
Funding
Available
Deadline
Oct 21, 2026
Country
United Kingdom
University
University of Exeter

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About this position
The University of Exeter is offering a PhD studentship within the GW4 BioMed3 MRC Doctoral Landscape Programme on How Neurons Shape Astrocytes: Decoding Cell-to-Cell Communication in Brain Development.
This project asks how neuronal signals instruct astrocytes to develop and function during brain development, and how disrupted signalling may contribute to neurodevelopmental disorders. The research will investigate the molecular signals linking neuronal JAKMIP1 dysfunction to altered astrocyte behaviour.
You will work with a combination of mouse models, primary astrocyte culture, transcriptomics, and advanced imaging. The project is designed to provide training in molecular neuroscience, glial biology, bioinformatics, and disease modelling, with research training across the Universities of Exeter, Bristol, and Cardiff.
This is a four-year, MRC-funded studentship available to UK and international students. Funding includes UK/Home tuition fees, a doctoral stipend matching the UK Research Council National Minimum (£21,805 per annum for 2026/27, updated annually), and up to £5,000 per year in additional research training and support costs.
The competition is for one of up to 18 studentships available across the GW4 BioMed3 partnership. The advertised start date is October 2027.
Deadline: 21 October 2026.
Funding details
Available
What's required
Available to UK and international students. The project is part of a competitive studentship scheme across the GW4 BioMed3 MRC Doctoral Landscape Award, with training in molecular neuroscience, glial biology, bioinformatics, and disease modelling. No specific degree classification, language test, or prerequisite skills are explicitly stated, but the research uses mouse models, primary astrocyte culture, transcriptomics, and advanced imaging, so relevant laboratory and quantitative interests would be advantageous.
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