"Research Assistant in Neuro-AI Software & Infrastructure"

Research Assistant in Neuro-AI Software & Infrastructure

Location: Nuffield Department of Clinical Neurosciences (NDCN), John Radcliffe Hospital, Headington, Oxford, OX3 9DU

This Research Assistant position supports a UKRI-funded research programme developing anatomy-driven artificial intelligence methods for cognitive and translational neuroscience. The role focuses on software engineering, computational infrastructure, and open-science support, working across multiple work packages.

The postholder will play a central role in maintaining and improving the group’s computational ecosystem, including shared codebases, data pipelines, computing resources, and public-facing research outputs (e.g. websites and repositories). They will collaborate across work packages and with multiple researchers, ensuring that research code is robust, reproducible, and accessible.

The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with opportunities to contribute intellectually to research projects and, where appropriate, to take ownership of a clearly defined sub-project. Applications are particularly encouraged from candidates from widening participation or low socioeconomic backgrounds, in line with the University’s commitment to equality, diversity, and inclusion.

The postholder will receive mentoring and training in computational neuroscience/neuro-AI, research software development, and open science. The role is intended to support career progression toward postgraduate study (including PhD applications) or technical roles in academia or industry.

Please see the Job Description for further details on the role, responsibilities, and selection criteria, as well as further information about the university and how to apply.

This post is full time (part time 30 hours / FTE 0.8 minimum will be considered) and fixed term for 12 months in the first instance.

Pay Scale: RESEARCH GRADE 6

Salary: £35,681 – £41,636 per annum

Closing Date: 20-Mar-2026 12:00

Vacancy ID: 184925