PhD Studentship: Simulating Person-specific Cognitive Processes from Expressive Behaviours for Mental Health Assessment
Join a funded PhD program focused on AI models for mental health assessment.
Best for:Best for candidates with a background in AI, machine learning, and mental health research.
Overview
The University of Exeter's Department of Computer Science is offering a funded PhD studentship aimed at developing personalized AI models to assess mental health through expressive behaviors. The project will explore how cognitive processes can be simulated to improve mental health assessments, moving beyond traditional self-report methods. Candidates will engage in cutting-edge research involving deep learning, affective computing, and multimodal signal processing. This position is ideal for those with a strong background in computer science or related fields and a passion for mental health innovation.
What you'll do
- Develop personalized AI models for mental health assessment.
- Simulate cognitive processes based on expressive behaviors.
- Conduct research using deep learning and multimodal signal processing.
- Evaluate models on clinical datasets to ensure reliability.
- Investigate fairness, privacy, and explainability in AI predictions.
Requirements
Degree required: MSc in Computer Science, AI, or a related field
Degree offered: PhD
Language: English; proficiency in academic writing
Instruction: English
- Strong programming skills
- Experience in AI and machine learning
- Knowledge of affective computing
- Familiarity with computational psychology
- Open to Home and International students
- Relevant prior degrees required
Funding & terms
How to apply
Deadline: 2026-10-23
Interested candidates should apply through the provided application link. Ensure all required documents are submitted by the deadline.
- CV
- Cover letter
- Research proposal
- Transcripts
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