ICL
British Heart Foundation Imperial-Oxford 4-year Multidisciplinary PhD Program 2026: Technology and data-driven solutions for effective prediction, prevention and management of cardiovascular disease
✓ Fully Funded
⏰ Closing Soon
🎓 Artificial Intelligence
🎓 Biomedical Engineering
🎓 Cardiovascular Science
🎓 Data Science
🎓 Digital Health
🎓 Medical Imaging
🎓 Omics
🎓 Precision Medicine
🎓 Remote Monitoring
🎓 Wearables
phd
AI
Imperial College London
University of Oxford
biomedical research
cardiovascular disease
data-driven health
digital twin
fully funded
multi-modal data
predictive models
wearable sensors
Call for applications for the 4-year British Heart Foundation Imperial-Oxford PhD studentships (October 2026) on technology and data-driven solutions for prediction, prevention, and management of cardiovascular disease.
Project Description
This program combines Imperial College London and University of Oxford to provide interdisciplinary PhD training. Students will work on large-scale multi-modal data, AI, and emerging technologies to transform cardiovascular disease prevention and management.
Training includes:
Developing and validating AI models using ECG, imaging, -omics, wearables, and EHR data
Building digital twin simulations
Working with biosensors and remote monitoring tools
Developing novel engineering-based solutions for disease monitoring and treatment
Students will gain hands-on experience with large datasets and integrated care records, supported by machine learning pipelines. PhD projects are aligned to program ambitions and will be available for allocation/selection in year one.
Entry Requirements
Strong academic background (Bachelor/Master’s in relevant field)
Interest in AI, biomedical engineering, computational biology, or data science applications in cardiovascular research
Ability to work in a multidisciplinary team
Interest in AI, biomedical engineering, computational biology, or data science applications in cardiovascular research
Ability to work in a multidisciplinary team
How to Apply
Send the following via email to m.zak1@imperial.ac.uk
:
CV
Names and addresses of at least two academic referees
Personal statement (max 1,000 words) explaining your interest
Selected candidates may receive a campus tour. Applicants should assume non-selection if no response is received within one month of closing date.
:
CV
Names and addresses of at least two academic referees
Personal statement (max 1,000 words) explaining your interest
Selected candidates may receive a campus tour. Applicants should assume non-selection if no response is received within one month of closing date.
Eligibility
UK/Home
EU
International
Supervisor Profile
PF
Prof. Fu Siong Ng
Imperial College London, Multidisciplinary / Cardiovascular Technology and Data Science
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