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  AI and Machine Learning for the diagnosis and monitoring of Parkinson’s and Alzheimer’s disease

   School of Physics, Engineering and Technology

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The School has long-standing research collaborations with hospitals and medical centres worldwide developing new approaches to the diagnosis and monitoring of neurological conditions, including Parkinson’s and Alzheimer’s. The current focus is on providing an objective assessment of movement disorders and cognitive decline through the analysis of patients’ responses to conventional clinical assessments, including figure-copying and movement tasks. The aim of this PhD is to explore new approaches to applying AI and white-box machine learning techniques to provide both an accurate assessment and informed understanding of the patient’s condition.

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at Please read the application guidance first so that you understand the various steps in the application process.

Computer Science (8) Engineering (12)

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website View Website for details about funding opportunities at York.

Register your interest for this project