PhD Studentship: Developing digital tools to support a personalised preventative pathway for children's mental health

Department of Psychiatry

Based within the Timely Research Group, Department of Psychiatry, University of Cambridge

A full scholarship funded through Peterhouse, University of Cambridge

The Department of Psychiatry, University of Cambridge, is pleased to announce a Studentship to conduct research for a doctoral degree to start in April 2025 for a duration of three years. The PhD student will be a part of the UKRI Future Leaders Fellowship project (PI: Moore) Transforming child mental health: co-designing, building and evaluating digitally enabled, personalised, prevention pathways. Professor John Suckling will co-supervise. The Studentship is suitable for candidates with a good degree in engineering, computer science, genetics, mathematics, psychology, biology, medicine, neuroscience, mathematics, biochemistry, or a related discipline. We particularly welcome applications from people from backgrounds that are under-represented in academic research.

The studentship will be hosted within the Timely Research Group, Department of Psychiatry. The Department has an outstanding international reputation in research, rated the best psychiatry department in the UK and in Europe, and has excelled in the last three Research Assessment Exercises. The University of Cambridge is consistently ranked among the very top universities in the world.

The Timely project aims to develop digitally supported personalised prevention pathways for children's mental health services. Baseline work has been carried out to construct a linked, population-level, multi-agency, longitudinal database including administrative and clinical records from health, education and social care records. A blueprint for a preventative pathway has been developed. This project will take forward the blueprint, refine it with a broad range of stakeholders including children and families, and co-develop detailed specifications for AI-driven digital tools. Particular attention will be placed on taking a responsible AI approach.

https://www.jobs.cam.ac.uk/job/48323/