Postdoctoral Research Associate in Applied Mathematics and Computational Neuroscience
Join a UKRI-funded project at the University of Oxford to advance algebraic topology in computational neuroscience.
Best for:Best for postdoctoral researchers with a PhD in applied mathematics, computational neuroscience, or a related discipline, seeking to contribute to interdisciplinary research at the intersection of topology and neural networks.
Overview
This postdoctoral position at the University of Oxford’s Mathematical Institute offers an opportunity to contribute to cutting-edge research in applied mathematics and computational neuroscience. The role is part of a UKRI-funded project exploring algebraic topology to bridge the gap between single neurons and neural networks. The successful candidate will conduct independent and collaborative research, publish findings in peer-reviewed journals, and engage with the broader Oxford Centre for Industrial and Applied Mathematics (OCIAM). The position includes limited teaching responsibilities and is ideal for researchers with a strong background in applied mathematics or related fields.
What you'll do
- Conduct independent and collaborative research in applied mathematics and computational neuroscience, focusing on algebraic topology to bridge single neurons and neural networks.
- Develop and implement mathematical models and computational methods to analyze neural network dynamics.
- Publish research findings in high-impact peer-reviewed journals and conference proceedings.
- Engage with the Oxford Centre for Industrial and Applied Mathematics (OCIAM) and collaborate with international researchers.
- Contribute up to three hours of teaching per week during academic terms.
- Present research proposals and results at academic meetings and conferences.
Requirements
Degree required: PhD in applied mathematics, computational neuroscience, or a closely related discipline, or completion expected within a short timeframe.
Language: English; proficiency required for publication, presentation, and collaboration.
Instruction: English
- Strong background in applied mathematics, particularly algebraic topology.
- Expertise in computational neuroscience or related interdisciplinary fields.
- Proficient in mathematical modeling and computational techniques.
- Excellent written and verbal communication skills for publication and presentation.
- Ability to work independently and collaboratively in a research team.
- Open to all eligible candidates; no specific nationality or residency restrictions mentioned.
- No age or prior experience caps explicitly stated.
Funding & terms
How to apply
Deadline: 2026-10-26 (Europe/London)
Applicants must submit an online application through the University of Oxford’s recruitment portal. Required documents include a statement outlining how you meet the selection criteria, a CV with a full list of publications, details of teaching experience, a statement of research interests, and the contact details of two referees. Applicants are responsible for ensuring their referees submit letters by the closing date via references@maths.ox.ac.uk.
- Statement setting out how you meet the selection criteria
- Curriculum Vitae including full list of publications
- Details of teaching experience
- Statement of research interests
- Contact details of two referees
Contact
Recruitment Coordinator· Recruitment Coordinator
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