Available
Project number:
2025_25
Start date:
October 2025
Project themes:
Main supervisor:
Rosetrees Pears Chair of Bioinformatics; Professor of Genomic Neuroimaging and Artificial Intelligence
Co-supervisor:
Philip Shaw
Additional Information:
Predicting ADHD: AI-Driven Prognostic Tools for Symptom Trajectory and Outcome
Background
ADHD is most the prevalent neurodevelopment condition and is distinguished by its highly variable courses into adolescence: while most youth show some degree of improvement, many have persisting symptoms. The prediction of likely adolescent outcomes of childhood ADHD has been identified as a priority by young people, parents and clinicians alike. Through applying AI approaches to neural, genomic and cognitive data acquired in multiple cohorts worldwide we aim to construct a clinically-useful prognostic tool to meet this need.
Novelty & Importance
This project seeks to develop a groundbreaking AI-based prognostic tool, utilizing longitudinal data—a resource largely untapped in neurodevelopmental research—to enhance predictions of ADHD symptom trajectories. By combining neuroimaging, genomic, and cognitive features, the model aims to achieve a level of predictive power that exceeds current methods based on clinical and demographic data alone. The project’s focus on diverse populations will ensure the tool’s generalizability and utility in various clinical settings.
Aims & Objectives
The main objective is to create and validate a tool that accurately predicts ADHD symptom outcomes from childhood into later stages, aiding clinicians and families in understanding and planning for possible symptom progression. The project will also provide unique training opportunities for aspiring data analysts and bioinformaticians in AI, neuroimaging, and genomics.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at