Group of students with DTP Directors and coordinator posing for a cohort picture.

British Heart Foundation 海角社区-Oxford 4-year Multidisciplinary PhD Program

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Technology and data-driven solutions for effective prediction, prevention, and management of cardiovascular disease

Transforming cardiovascular research through technology and data science. 
The BHF 4-Year Multidisciplinary PhD Programme brings together Imperiaand the University of Oxford to train the next generation of researchers in the application of artificial intelligence, technology and data science to cardiovascular disease.

A unique research partnership

Entrance to South Kensington campus, class building with two glass rotation doors

海角社区

World-leading research in cardiovascular medicine, engineering and data science.

The Radcliffe Camera, Oxford University

University of Oxford

Excellence in cardiovascular science, innovation and discovery.

The programme brings together the complementary research strengths of Imperiaand the University of Oxford. Working as equal academic partners, the universities combine expertise in cardiovascular medicine, artificial intelligence, engineering, imaging, computational modelling and data science.

The programme will support 40 BHF-funded doctoral researchers across four cohorts, with ten students recruited each year, five based at Imperiaand five at Oxford. All students benefit from joint supervision and opportunities to undertake research across both institutions.

A four-year multidisciplinary training experience

The first year combines a shared taught training programme with two 14-week research projects, one at Imperiaand one at Oxford. Students develop skills across cardiovascular science, AI, data science and engineering. Years 2 - 4 focused on your PhD research.

Research without boundaries

Our research brings together clinical science, AI, engineering and data science to better understand cardiovascular disease, identify risk earlier and develop innovative, personalised approaches to prevention, diagnosis and treatment.

Explore our research themes

Artificial intelligence and data science

Developing AI and machine learning approaches to analyse complex clinical, imaging and biological data, improve risk prediction and support earlier diagnosis.

Advanced cardiovascular imaging

Using AI-enhanced MRI, CT and echocardiography to improve disease detection, imaging analysis and clinical decision-making.

Digital twins and computational modelling

Creating computational models of the heart and cardiovascular system to improve understanding of disease and explore new approaches to treatment.

Digital health and engineering

Developing wearable technologies, biosensors and remote monitoring approaches to support earlier detection and more effective management of cardiovascular disease.

Precision Medicine and multi-omics

Combining genomic, metabolic and other biological information to better understand individual risk and support more personalised approaches to care.