Post-Doctoral Research Assistant for Brain Analytics and Computing

University of Oxford; Oxford; Hybrid; GBP 37,000 - 52,000; Full time

Benefits offered by this job

Excellent contributory pension

38 days annual leave

Comprehensive childcare services

Family leave schemes

Discounted bus travel

Season Ticket travel loans

Membership to social and sports clubs

Hybrid working

Job summary

University of Oxford invites applications for a Post-Doctoral Research Assistant focused on Brain Analytics and Computing. Based in the Department of Psychiatry, you will lead quantitative analyses, manage research projects, and contribute to open data practices using GitHub and container technologies.

The post is funded for 18 months with hybrid working options. You should hold a PhD/DPhil in neuroscience or a closely related field, with strong data-analysis skills and a track record in neural

Qualifications

• PhD/DPhil in neuroscience or related field with research experience.
• First degree in CS/Engineering/Math/Physics.
• Experience with information-theoretic analysis of fMRI signals.
• Experience designing and analysing AI/Deep Neural Networks for neural systems.
• Desirable: experience with fMRI in patients with brain lesions.

Responsibilities

• Manage own academic research and administrative activities.
• Coordinate multiple work packages to meet deadlines.
• Adapt and develop new research methodologies and materials.
• Lead the project's code and data-sharing strategy (GitHub, Docker/Singularity).

Skills

Neuroscientific data analysis

High-performance computing

fMRI analysis

Deep neural networks

Brain imaging research

Education

PhD/DPhil in neuroscience or related field

Bachelor in Computer Science, Engineering, Mathematics or Physics

Tools

GitHub

Docker

Singularity

Job description

Post-Doctoral Research Assistant for Brain Analytics and Computing

Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford OX3 7JX

The University of Oxford is a stimulating work environment, which enjoys an international reputation as a world-class centre of excellence. Our research plays a key role in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic.

The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute for Health Research (NIHR) and provides highly rated medical training in psychiatry. The Head of Department is Professor Belinda Lennox.

This is an exciting opportunity for a Postdoctoral Researcher with expertise in neuroscientific data analysis and high-performance computing, to lead delivery of Work Packages within the context of a Wellcome Trust Grant held by Dr. Luppi.

What We Offer

• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Discounted bus travel and Season Ticket travel loans
• Membership to a variety of social and sports clubs
• This role also offers the opportunity for hybrid working

About the Role

The post is funded for 18 months and is based in the Centre for Eudaimonia and Human Flourishing, Stoke House, Oxford OX3 9BX

You will manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines. You will adapt existing and develop new research methodologies and materials. You will prepare working theories and analyse quantitative data from a variety of sources, reviewing and refining theories as appropriate. You will lead the project's code and data-sharing strategy (GitHub, Docker/Singularity).

About You

You will have or to be close to completion of a relevant(PhD/DPhil ) in neuroscience or a closely related field with relevant research experience. You will hold a first degree in Computer Science, Engineering, Mathematics, or Physics. You will possess sufficient specialist knowledge in information-theoretic analysis of functional MRI signals, as demonstrated by relevant peer reviewed publications/preprints. You will also possess sufficient specialist knowledge in designing, training, and analysing Artificial/Deep Neural Networks to model neural systems or cognitive processes, as demonstrated by relevant peer reviewed publications/preprints. Experience of conducting research investigating functional MRI of patients with focal or traumatic brain lesions is desirable.

Diversity

Committed to equality and valuing diversity

The closing date for applications is 19 November 2026