KSC

BHF 4-yr PhD Programme: Next Generation Human Models of Cardiovascular Disease

King's College London interdisciplinary: bioengineering, molecular & cellular biology, data science

✓ Fully Funded ⏰ Closing Soon 🎓 AI in Health 🎓 Bioengineering 🎓 Cardiovascular Disease 🎓 Data Science 🎓 Molecular & Cellular Biology 🎓 Multi-Omics AI BHF CVD Ex Vivo Human Models In Silico In Vitro Interdisciplinary Multi-Omics Patient Data

10 fully funded 4-year PhD positions on human models of cardiovascular disease (CVD), integrating bioengineering, multi-omics, and AI-powered health data, with interdisciplinary training across King’s and Imperial.

Project Description

This programme offers 10 fully funded 4-year interdisciplinary PhD positions focused on next-generation human models of cardiovascular disease (CVD), including in vitro, ex vivo, and in silico approaches. Students will receive interdisciplinary training in bioengineering, multi-omics, and AI-powered health data. King’s funding: 6 studentships, targeting candidates with expertise in molecular & cellular biology. Imperial funding: 4 studentships, targeting candidates with expertise in bioengineering. All students will engage in Year 1 of training through core and elective modules, workshops, and two mini-projects. In Years 2-4, students will continue one mini-project towards the PhD. Bioengineering students from Imperial will pair with a King’s supervisor holding a human CVD model, facilitating design or improvement of models that may incorporate data science. King’s students will work on human CVD models with an option to integrate bioengineering and/or data science approaches.

Entry Requirements

1st or good upper 2nd class degree (or equivalent) in a relevant subject.
MSc applicants must have a distinction or merit.
English language proficiency required for non-native speakers (details on faculty website).

How to Apply

Complete online application form including CV and motivation statement.
Deadline: 30 March 2026, 13:00 GMT

Eligibility

UK/Home

International

Supervisor Profile

Dr Aleksandar Ivetic, Dr Anna Zampetaki, Dr Adam Celiz

King's College London, interdisciplinary: bioengineering, molecular & cellular biology, data science

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