BHF 4-Year PhD Studentships in Cardiovascular Research (Prevention)

University of Cambridge; Cambridge; On-site; GBP 18,000 - 21,000; Full time

Benefits offered by this job

Tuition fees covered

Tax-free stipend

Interdisciplinary training

Job summary

University of Cambridge, together with partner institutions, invites applications for 10 funded four-year PhD studentships starting October 2027 under the British Heart Foundation doctoral training programme.

Students will study at Cambridge, Edinburgh, Imperial College London or Oxford, focusing on data-driven approaches to cardiovascular disease prevention.

Qualifications

• Applicants should hold, or expect to obtain, a first or upper second-class undergraduate degree (or equivalent) in a quantitative field.
• A Master’s degree is desirable.
• Strong analytical skills and experience with data or computational methods are essential.
• Experience with data science, statistics, or AI is advantageous.
• International applicants should provide evidence of English proficiency.

Skills

Analytical skills

Data science

Computational methods

Education

First or upper second-class undergraduate degree

Master's degree (desirable)

Job description

University of Cambridge, University of Edinburgh, Imperial College London and University of Oxford.Applications are invited for 10 funded 4-year PhD studentships starting in October 2027, as part of the British Heart Foundation (BHF) doctoral training programme focused on preventing cardiovascular disease through innovative, data-driven approaches.This interdisciplinary PhD programme brings together leading researchers from the University of Cambridge, University of Edinburgh, Imperial College London, and the University of Oxford. Students will be trained to work at the intersection of population health, systems biology, and data science/AI, combining expertise across these fields to tackle one of the most pressing challenges in global health. By harnessing large-scale multimodal data and emerging technologies, students will develop new approaches to understand, predict, and prevent heart and circulatory diseases.Students will be based in one of the following institutes: Cambridge (5 studentships), Edinburgh (2 studentships), Imperial (1 Studentship) or Oxford (2 studentships) while benefiting from training, co-supervision, and collaboration across the partner institutions. Projects will span a range of topics including health data science, AI and machine learning, multi-omics, epidemiology, and translational cardiovascular research. Students will be part of a cohort-based programme, gaining access to shared training activities, collaborative networks, and state-of-the-art data resources across the multi-institute partnership.This four-year PhD programme combines interdisciplinary training with in-depth research. In year 1, students will undertake training courses and research rotations (at their host institution) before selecting their PhD project and supervisory team. In years 2-4, students will carry out their PhD research with interdisciplinary supervision. Additional opportunities will include advanced training courses, programme-wide workshops and symposia, and optional placements with our academic or industry partners, including EMBL-European Bioinformatics Institute, Wellcome Sanger Institute, AstraZeneca, Novo Nordisk, Genomics Ltd, Owlstone Medical, ThermoFischer Scientific and Flagship Pioneering.The co-leads of the programme are: Cambridge - Professor Angela Wood Edinburgh - Professor Nicholas Mills Imperial - Associate Professor Michela Noseda Oxford - Professor Sarah LewingtonEligibilityApplicants should hold, or expect to obtain, a first or upper second-class undergraduate degree (or equivalent) in a relevant discipline such as statistics, mathematics, computer science, data science, engineering, bioinformatics, epidemiology, biomedical sciences, genetics, public health, or another quantitative or biomedical field, and may also hold a Master's degree in a related subject.Applicants should also demonstrate strong analytical skills, experience working with data or computational methods, and an interest in interdisciplinary research. Strong communication and teamwork skills are essential, and international applicants may need to provide evidence of English language proficiency.FundingThe studentship provides:University tuition fees (UK home rate only)A tax-free stipend at the BHF rateResearch training and supportWe invite applications from students who meet the UK residency requirements (home fees). International students who confirm that additional costs of all overseas tuition fees will be covered through other scholarships or funding schemes will also be considered.How to apply Please do not use the University application portals.To apply, please email [e-mail] with the following documents.Curriculum vitae (CV)Two letters of recommendation from your referees, signedTranscriptsA cover letter (maximum 2500 characters) outlining your suitability for the PhD programme and indicating your preferred host institutions in order of preference. Please list only institutions that you would be willing to attend if offered a place, even if they are not your first choice.Evidence of competence in English - If required - please see our Competence in English guidance for more information.AI must not be used when writing personal statements and CVs.This prohibition covers the use of AI to help your use of English. Using AI in your application ' Postgraduate StudyApplication deadline: 8th December 2026Please quote reference RH51427 on your application and in any correspondence about this vacancy.The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.The University has a responsibility to ensure that all employees are eligible to live and work in the UK.