Niaz Chowdhury
Top university
1 month ago
Fully Funded DPhil (PhD) in Translational Neuroimaging of Neurogenetic Disorders at University of Oxford University of Oxford in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
The studentship provides a UKRI-rate stipend (not less than £20,780 per annum), covers course fees up to the value of home fees, and offers additional support for research expenses, conference attendance, and consumables. International applicants may access additional funding options to cover the difference between home and overseas fees.
Deadline
Expired
Country
United Kingdom
University
University of Oxford

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About this position
The University of Oxford’s Department of Psychiatry is offering a fully funded DPhil (PhD) studentship focused on Translational Neuroimaging of Neurogenetic Disorders, starting October 2026. This project sits at the intersection of psychiatry, neuroimaging, and imaging genomics, leveraging large, globally distinctive datasets to investigate how altered gene dosage reshapes the human brain and translates these insights into clinical stratification. The research will use multimodal neuroimaging and genomic data, with a strong emphasis on AI-driven image analysis, normative modelling, and the integration of neuroimaging with genetic information.
The studentship is supervised by Prof. Armin Raznahan (University of Oxford) with collaborating mentorship from Prof. Aaron Alexander-Bloch (University of Pennsylvania). The research group is internationally connected and provides training in multimodal neuroimaging, brain growth charts, AI-driven analysis, and imaging–genomics integration. The project is ideal for candidates interested in the interface of biology and computation, especially those aiming to connect technical work with clinical relevance.
Applicants should have at least an upper second-class honours degree (or equivalent) in Neuroscience, Computer Science, Engineering, Bioinformatics, or related fields. Essential skills include strong Python and/or R programming and clear communication. Experience in neuroimaging, applied data science, or machine learning is desirable. The studentship provides a UKRI-rate stipend (not less than £20,780 per annum), covers course fees up to the home fee level, and offers additional support for research costs and conferences. International applicants are encouraged to apply, with several options available to cover the difference between home and overseas fees.
The application deadline is 12:00 noon (UK time) on 6 February 2026. Applications must be submitted via Oxford’s main online graduate application form, including all supporting materials, references, and payment. The studentship code 26PSYCH04WEB must be entered on the application. For further details and application guidance, see the StudyAbroad.ac link provided. Informal enquiries can be directed to [email protected].
Funding details
The studentship provides a UKRI-rate stipend (not less than £20,780 per annum), covers course fees up to the value of home fees, and offers additional support for research expenses, conference attendance, and consumables. International applicants may access additional funding options to cover the difference between home and overseas fees.
What's required
Applicants must have at least an upper second-class honours degree (or equivalent) in Neuroscience, Computer Science, Engineering, Bioinformatics, or closely related fields. Essential requirements include strong Python and/or R skills and clear communication skills. Experience in neuroimaging, applied data science, and/or machine learning is desirable. International applicants are encouraged to apply.
How to apply
Apply via Oxford’s main online graduate application form and pay the £20 application fee. Submit all supporting materials, references, and payment by the deadline. Enter the studentship code 26PSYCH04WEB on the application. See the StudyAbroad.ac link for a detailed application breakdown.
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