PhD Position: Multimodal AI-based Diagnosis of ADHD

Apply for a fully funded PhD studentship at Plymouth University, UK, focusing on developing a multimodal AI framework for ADHD diagnosis. Deadline: 28th March 2025.

We are pleased to announce a fully funded PhD studentship at Plymouth University, UK, focusing on Multimodal AI-based Diagnosis of Attention Deficit Hyperactivity Disorder (ADHD). The application deadline is 12 noon on 28th March 2025 (UK time).

This project aims to develop a sophisticated AI framework to enhance the accuracy of ADHD diagnosis, addressing the limitations of current subjective methods. Key research questions include:

• How can machine learning and deep learning models be tailored to various data types like neuroimaging to uncover distinct ADHD diagnostic patterns?
• What methods can be used to analyze fMRI data to delineate active brain regions and their connections, and how can these findings be linked to ADHD behaviors and cognitive functions?
• How can AI models be refined to handle high data dimensionality and heterogeneity, and enhance decision-making transparency using Explainable AI (XAI) methods?
• What are the best practices to assess the robustness of AI models against the variability in ADHD diagnostic data?

The project is suitable for students from a broad range of disciplines, including computer science and artificial intelligence. For more details and how to apply, visit the official project page.

Tags: PhD Position, Multimodal AI, ADHD Diagnosis, Plymouth University, AI Research, Neuroimaging, Explainable AI