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University of Oxford

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DPhil Studentship: How Brain Network Dynamics Shape Human Cognition University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Nov 27, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Psychology
Decision Making
Statistical Inference
Open Science
Neuropsychology
Magnetoencephalography
Neurocognition
Computational Modelling
Brain Dynamics
Physics
ML

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About this position

[Fully funded studentship covering course fees up to home fee level, plus a tax-free stipend at the UKRI standard rate of no less than £22,460 per annum, with additional support for research expenses and conference attendance.]

This DPhil project in cognitive neuroscience at the University of Oxford explores how the timing and coordination of brain network activity shape human cognition. Based in the Department of Psychiatry, the studentship focuses on the neural dynamics that support flexible behaviour across memory, perception, and decision-making.

The project is centred in Dr Mats van Es’ research group at the Oxford Centre for Human Brain Activity (OHBA), within the Oxford Centre for Integrative Neuroimaging (OxCIN). The group builds on recent findings of recurring cycles of brain network activity and develops computational approaches to understand what these dynamics mean for brain function and the potential to influence them.

The successful student will analyse large magnetoencephalography datasets to study how brain networks interact, transition over time, and relate to reaction time and accuracy. The work also includes designing and conducting new MEG experiments to test hypotheses about the functional role of network timing. Depending on the student’s interests, the project may extend into computational modelling or closed-loop experiments that use ongoing brain activity to time task events.

The research environment is interdisciplinary and methodologically rich, with access to advanced MEG, MRI, neuromodulation facilities, and high-performance computing. The studentship also offers training in open and reproducible research, scientific communication, and methods for studying brain dynamics, alongside opportunities for collaboration and conference participation.

Funding details

Available

What's required

Applicants should have at least an upper second-class honours degree (or equivalent) and/or a relevant Master's degree in cognitive neuroscience, psychology, neuroscience, physics, engineering, computer science or a related field. The role seeks strong interest in human cognition, excellent quantitative and computational skills (ideally Python), experience with electrophysiology such as MEG or EEG, and preferably experience in experimental design, cognitive modelling, or machine learning. Independent research experience, scientific curiosity, and strong communication and collaboration skills are important.

How to apply

Apply through the University of Oxford online graduate application form. Submit the application form, all supporting materials including references, and the £20 application fee by the deadline. For informal enquiries, contact [email protected].

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