King's College London, University of London

What you'll study

Research projects and training span cardiovascular biology, bioengineering and data-driven methods. Students will work on creating next-generation human models of cardiovascular disease that capture human biological complexity better than traditional experimental systems. Training covers interdisciplinary experimental biology combined with engineering and AI/machine-learning approaches to model disease and evaluate potential therapies.

Entry requirements

Specific programme entry criteria are not listed on the source page. Prospective candidates should consult the programme’s official funding database and application guidance for details on eligibility, academic qualifications and the application process for the 2026/27 cohort.

Career prospects

Graduates will be prepared for research careers that require interdisciplinary fluency across biology, engineering and data science. Typical paths include academic research in cardiovascular biology and disease modelling, roles in translational research and drug development where human-relevant models are needed, and positions in industry or public-sector research groups focusing on computational modelling, organ-on-chip technologies or AI-driven biomedical research.

Scholarships & funding angle (general)

The programme is funded by the British Heart Foundation and will recruit and train 10 doctoral students each year. The source states fully funded four-year PhD opportunities are available and that details on how to apply for these funded places are provided through the programme’s funding database.