UKRI Studentship

Methodology PhD Studentship at the NIHR Manchester Biomedical Research Centre (UK), Code A1-2. This PhD opportunity focuses on methodology research within the NIHR Manchester BRC. The successful candidate will develop and apply advanced statistical and methodological approaches to support biomedical research and clinical studies, with a strong emphasis on health research methodology. Ideal applicants should have a strong academic background in Statistics, Epidemiology, Data Science, or a related...

London School of Hygiene and Tropical Medicine (LSHTM) is advertising a 2026–2027 PhD Studentship in Modelling for UK Measles Transmission . The project focuses on infectious disease modelling to understand measles transmission dynamics in the UK and to use mathematical and statistical models to inform public health policy and vaccination strategies . This opportunity is well suited to applicants with a strong background in Mathematics , Statistics , Epidemiology , Computer Science , or a relate...

The Medical Research Council Biostatistics Unit at the University of Cambridge is advertising a fully funded PhD studentship for a UK applicant starting in January 2027. This opportunity is aimed at students who want to apply innovative statistical methods and data science approaches to real biomedical problems, with a focus on advancing human health and disease research. The Unit describes itself as one of the largest groups of biostatisticians in Europe and a major centre for research, trainin...

Funded PhD opportunity at The University of Manchester in psoriatic disease comorbidities , with training across epidemiology , human genetics , machine learning , and medical statistics . The project, based in the Division of Musculoskeletal and Dermatological Sciences, investigates health conditions linked to psoriasis and psoriatic arthritis across diverse populations. It uses linked electronic health record, questionnaire, and genomic data from two major biobank resources: Our Future Health ...

PhD Studentship at Newcastle University in modelling the aetiology and spatio-temporal distribution of infectious intestinal disease and antimicrobial resistance across community and healthcare systems in the UK. This project works with the IID3 Study and the UK Health Security Agency (UKHSA) to analyse national data on gastrointestinal infections, pathogen detection, diagnosis pathways, and antimicrobial resistance. The research will map how infections and resistance vary across time and region...