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Imperial College London

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Fully Funded PhD in Multimodal Foundation Models and Agentic AI for Heart Rhythm Disorders Imperial College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The 3-year PhD studentship is fully funded by the National Heart and Lung Institute and provides a stipend plus Home tuition fees for three years. Tuition funding requires Home fee status.

Deadline

Jan 15, 2027

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Deep Learning
Electrophysiology
Medical Science
Electrocardiography
Arrhythmia
Electronic Health Record
Large Language Models

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About this position

This PhD opportunity focuses on developing multimodal foundation models and agentic artificial intelligence for heart rhythm disorders at Imperial College London.

The project will combine electrocardiograms, electronic health records, clinical free text and medical imaging. The research will investigate foundation models, multimodal fusion, large language models and agentic AI, including AI co-scientist approaches that support multiple stages of the research process.

The student will work within a cardiovascular AI team connected to the National Heart and Lung Institute and the Imperial BHF Centre of Research Excellence. The wider research environment brings together practising clinicians, cardiac electrophysiologists, data scientists and engineers across Imperial and international collaborators. The programme offers access to data from more than 11 million people across eight or more countries, supporting research aimed at real-world impact in cardiovascular medicine.

Supervision will involve Fu Siong Ng, James Ware and Declan O'Regan, alongside a practising cardiac electrophysiologist with hands-on coding experience. The project is designed for researchers interested in applying advanced computer science and biomedical AI methods to clinically important heart rhythm problems.

The advert states that the studentship starts in October 2027.

Funding details

The 3-year PhD studentship is fully funded by the National Heart and Lung Institute and provides a stipend plus Home tuition fees for three years. Tuition funding requires Home fee status.

What's required

Applicants should be graduates with a Master's degree in computer science, artificial intelligence, engineering, biomedical sciences or a similar field, with strong Python and deep learning skills. Cardiology experience is not required. Home fee status is required for the stated tuition-fee funding.

How to apply

The advert is expected to follow, with interviews beginning in November. Interested candidates should monitor the forthcoming advert and apply early; informal enquiries can be sent to Arunashis Sau via LinkedIn.

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Professors

Professor

University Name
Country flag

United Kingdom

Research Interests

Medical Imaging

Large Language Models

Deep Learning

Biomedical Engineering

Computer Science

Professor

University Name
Country flag

United Kingdom

Research Interests

Cardiology

Biostatistics

Medical Science

Cardiomyopathy

Cardiac Pathology

Professor

University Name
Country flag

United Kingdom

Research Interests

Medical Imaging

Biomedical Engineering

Electronic Health Record

Medical Science

Electrocardiography