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University of Exeter

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Funded PhD in Person-specific Cognitive Simulation for Mental Health Assessment University of Exeter in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 15, 2026

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Country

United Kingdom

University

University of Exeter

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Keywords

Computer Science
Psychology
Deep Learning
Neuropsychology
Salud Pública
Statistics
Responsible Ai

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About this position

Funded PhD opportunity at the University of Exeter in Computer Science for a project on simulating person-specific cognitive processes from expressive behaviours for mental health assessment.

The project sits in the Department of Computer Science, Faculty of Environment, Science and Economy, at the Streatham Campus. It focuses on computational mental health, personalised AI, affective computing, and multimodal signal processing, using facial behaviour, speech, gaze, head movement, affective dynamics, and interaction patterns to model latent cognitive-response mechanisms.

The research aims to build personalised neural models that simulate how individuals respond in emotional, social, or conversational contexts, then use those simulations to infer mental health states, symptom severity, and temporal change. Methods mentioned include deep learning, graph neural networks, transformer-based methods, hypernetworks, temporal modelling, fairness, privacy, uncertainty estimation, and explainability.

This is a funded PhD studentship. For eligible students, it covers Home or International tuition fees plus an annual tax-free stipend of at least £21,805 for 3.5 years full-time, or pro rata for part-time study.

Applicants should have a background in computer science, AI, machine learning, affective computing, computational psychology, or a related field, and strong programming skills are essential.

The advertised start date is 21 September 2026, or as soon as possible thereafter. The FindAPhD listing shows a deadline of 15 August 2026. Apply via the University of Exeter funding page linked in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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