University College London
10 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
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
Country
United Kingdom
University
University College London
Suggested positions
Keywords
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.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
United Kingdom
Research Interests
Pharmacotherapy
Neurology
Meta-analysis
Cerebrovascular Disease
Ischemic Stroke
Professor
United Kingdom
Research Interests
Health Economics
Biostatistics
Case-control Study
Cardiometabolic Health
Disease Prevention
Professor
United Kingdom
Research Interests
Biostatistics
Econometrics
Machinelearning
Stochastic Modeling
Probability
Professor
United Kingdom
Research Interests
Biostatistics
Statistics
Bayesian Statistics
Density Estimation
Variational Inference
Professor
United Kingdom
Research Interests
Biostatistics
Statistics
Mathematics
Economics
Computational Statistics
Professor
United Kingdom
Research Interests
Health Economics
Econometrics
Machinelearning
Computer Science
Stochastic Modeling
Professor
United Kingdom
Research Interests
Statistics
Biostatistics
Bayesian Statistics
Statistical Inference
Causal Inference
Professor
United Kingdom
Research Interests
Health Economics
Econometrics
Machinelearning
Data Science
Probability
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.