心血管研究预防方向BHF 4年制博士生
BHF 4-Year PhD Studentships in Cardiovascular Research (Prevention)
原帖优先：申请材料、截止时间与资格以原帖和学校官方说明为准。
AI 中文速览
- 研究内容
- 项目聚焦于通过创新和数据驱动的方法预防心血管疾病，结合人群健康、系统生物学和数据科学/人工智能，利用大规模多模态数据和新兴技术深入理解、预测和预防心脏与循环系统疾病。
- 申请条件
- 申请人应持有或预计获得相关学科（如统计学、数学、计算机科学、数据科学、工程学、生物信息学、流行病学、生物医学、遗传学、公共卫生或其他定量或生物医学领域）的一等或二等上学士学位（或同等学历），也可能持有相关学科的硕士学位。申请者还应表现出较强的分析能力、数据或计算方法使用经验，以及对跨学科研究的兴趣，具备良好的沟通和团队协作能力。
- 待遇
- 提供英国大学学费（仅限英国本土学费标准）、BHF标准的免税生活补助，以及研究培训和支持经费。
- 申请方式
- 请勿使用大学申请门户网站。应聘者需将申请材料通过电子邮件发送至 bhfphdadmin@medschl.cam.ac.uk，并在申请及信件中注明参考编号 RH51427。申请截止日期为2026年12月8日。
- 材料清单
- 个人简历 (CV)
- 两封由推荐人签署的推荐信
- 成绩单
- 一份求职信（最多2500个字符），概述您对该博士项目的契合度，并按优先顺序列出您首选的主办机构
- 英语能力证明（如需要）
由 gemini-2.5-flash-lite 生成，博士岗判定置信度 100%。
岗位信息
- 截止
- （Europe/London） 剩 48 天
- 学科
- 生命科学
- 合同类型
- 奖学金
- 原帖发布
- 本站收录
- 内容更新
- 原帖导师候选（待核验）
- Professor Angela Wood, Professor Nicholas Mills, Associate Professor Michela Noseda, Professor Sarah Lewington
- 来源
- University of Cambridge 博士奖学金与 Studentships · 最近核对 2026-10-21
- 详情核验
判定依据（原文摘录）
- 这是一项4年制博士培养机会
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
原文
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 Lewington
Eligibility
Applicants 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.
Funding
The studentship provides:
University tuition fees (UK home rate only) A tax-free stipend at the BHF rate Research training and support
We 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 bhfphdadmin@medschl.cam.ac.uk with the following documents.
Curriculum vitae (CV) Two letters of recommendation from your referees, signed Transcripts A 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 Study
https://www.postgraduate.study.cam.ac.uk/apply/how/ai-postgraduate-applications
Application deadline: 8th December 2026
Please 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.