Publisher
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University College London

PhD Studentships in Statistical Science at University College London (UCL) – Statistics, Machine Learning, Probability, Biomedicine, and More University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Each studentship covers full tuition fees, an annual maintenance stipend (£24,280 for 2025/26, with expected increases in subsequent years), and an allowance for research training. Funding is available for both Home and Overseas applicants. Additional UCL-wide scholarships (e.g., UCL Research Excellence Scholarships, EPSRC Landscape Award, Research Opportunity Scholarships, CSC-UCL Joint Research Scholarships) are also available, each with their own eligibility criteria and deadlines.

Deadline

Expired

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Data Science
Environmental Science
Biostatistics
Mathematics
Finance
Operations Research
Stochastic Modeling
Health Economics
Causal Inference
Bayesian Statistics
Economics
Computational Statistics
Statistics
Machinelearning
Probability
Econometrics
Statistical Scientist
Ecological Statistics

About this position

The UCL Department of Statistical Science is offering at least four fully funded PhD studentships for entry in October 2026. These prestigious studentships are open to both Home and Overseas applicants and provide an excellent opportunity to join one of the largest and most dynamic statistics groups in the UK, based at University College London.

Research in the department spans a wide range of areas, including but not limited to: statistics, statistical science, machine learning, probability, causal inference, computational statistics, biostatistics, environmental statistics, Bayesian statistics, data science, mathematics, econometrics, health economics, stochastic models, and operational research. The department's research is organized into six main themes: Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability; and Statistics in Biomedicine and Health Economics. Many projects are interdisciplinary and involve collaborations within and outside UCL.

Each studentship covers full tuition fees, an annual maintenance stipend (£24,280 for 2025/26, with expected increases), and an allowance for research training. Studentships are for 3.5 years (full-time) or 6 years (part-time). Full-time students will also gain teaching experience during their studies. Additional UCL-wide scholarships, such as the UCL Research Excellence Scholarships, EPSRC Landscape Award, Research Opportunity Scholarships, and CSC-UCL Joint Research Scholarships, are available for eligible candidates.

Applicants must have, or expect to achieve, at least a high upper second-class UK Bachelor’s degree or a Master’s degree with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. International qualifications of an equivalent standard are accepted. All students whose first language is not English must provide recent evidence of English proficiency at UCL's standard level. Candidates are expected to identify and contact a prospective supervisor in advance and prepare an outline research proposal aligned with departmental research areas. A list of potential supervisors and their research interests is available on the department website.

To apply, candidates should first submit an application for admission to the MPhil/PhD in Statistical Science at UCL. Afterward, they must send the funding application form and supervisor reference form (both as PDFs) to [email protected] and complete the online Diversity Data Form. The deadline for all application steps is 9 January 2026. Shortlisted candidates will be invited for interviews in late January, typically held online.

For more information, visit the department's research and postgraduate admissions pages, or contact Ms Marina Lewis at [email protected].

Funding details

Each studentship covers full tuition fees, an annual maintenance stipend (£24,280 for 2025/26, with expected increases in subsequent years), and an allowance for research training. Funding is available for both Home and Overseas applicants. Additional UCL-wide scholarships (e.g., UCL Research Excellence Scholarships, EPSRC Landscape Award, Research Opportunity Scholarships, CSC-UCL Joint Research Scholarships) are also available, each with their own eligibility criteria and deadlines.

What's required

Applicants must have, or expect to achieve, at least a high upper second-class UK Bachelor’s degree or a Master’s degree with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. International qualifications of an equivalent standard are accepted. All students whose first language is not English must provide recent evidence of English proficiency at UCL's standard level. Candidates should identify and contact a prospective supervisor in advance, and prepare an outline research proposal aligned with departmental research areas.

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Professors

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University Name
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Research Interests

Pharmacotherapy

Neurology

Meta-analysis

Cerebrovascular Disease

Ischemic Stroke

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United Kingdom

Research Interests

Health Economics

Biostatistics

Case-control Study

Cardiometabolic Health

Disease Prevention

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Research Interests

Biostatistics

Econometrics

Machinelearning

Stochastic Modeling

Probability

Professor

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Research Interests

Biostatistics

Statistics

Bayesian Statistics

Density Estimation

Variational Inference

Professor

University Name
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United Kingdom

Research Interests

Biostatistics

Statistics

Mathematics

Economics

Computational Statistics

Professor

University Name
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United Kingdom

Research Interests

Health Economics

Econometrics

Machinelearning

Computer Science

Stochastic Modeling

Professor

University Name
Country flag

United Kingdom

Research Interests

Statistics

Biostatistics

Bayesian Statistics

Statistical Inference

Causal Inference

Professor

University Name
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United Kingdom

Research Interests

Health Economics

Econometrics

Machinelearning

Data Science

Probability