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The University of Manchester

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Psoriasis Association studentship

Funded PhD in Psoriatic Disease Comorbidities, Epidemiology, Human Genetics and Machine Learning The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 18, 2026

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Data Science
Epidemiology
Biostatistics
Biology
Medical Statistics
Medical Science
Salud Pública
Multimorbidity
Genetic
Statistics
Machine learning

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About this position

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 and All of Us. The research aims to understand multimorbidity patterns, how comorbidities develop over time, and whether some relationships may be causal using statistical genetics and Mendelian randomisation.

Supervisors listed are Dr Sizheng Zhao, Dr Zenas Yiu, and Dr J Bowes. The student will join an interdisciplinary environment spanning the Centre for Epidemiology and the Centre for Genetics and Genomics, with support from clinical academics, geneticists, and health data scientists.

This is a funded PhD project for students worldwide. Funding includes tuition fees and a UKRI stipend, with a three-year studentship starting in January 2027. The post is especially suited to applicants interested in inflammatory disease, multimorbidity, health inequalities, precision medicine, and large-scale biomedical data.

Eligibility highlights: a strong Master’s degree in epidemiology, biostatistics, bioinformatics, data science, public health, genetics, computational biology, or a related quantitative field; alternatively, a clinical/biomedical/population health background with strong quantitative skills. R/Python and regression-based methods are desirable, and prior research outputs are an advantage.

To apply, first contact the Primary Supervisor, then submit a formal application through the Faculty of Biology, Medicine and Health Doctoral Academy website. On the application form, select PhD Epidemiology.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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