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The University of Manchester

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PhD Studentship in Bayesian Modeling of High-dimensional Structural Data The University of Manchester in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Oct 28, 2026

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Country

United Kingdom

University

The University of Manchester

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Biology
Mathematics
Computational Statistics
High-dimensional Data
Statistics

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About this position

PhD Studentship: Bayesian Modeling of High-dimensional Structural Data at The University of Manchester, Department of Mathematics.

This fully funded PhD project focuses on Bayesian modeling for high-dimensional structural data, with applications across biological sciences, social science, and engineering. The research aims to develop a comprehensive Bayesian learning framework for problems involving underlying covariance structures, conditional dependency graphs, and time-varying high-dimensional structures influenced by latent factors or variables.

The project emphasizes both computationally efficient and scalable methods and the establishment of relevant theoretical properties. This makes it a strong fit for applicants interested in statistics, mathematics, computational science, and data-driven methodology development.

Funding: The studentship is fully funded for 3.5 years for UK/home students. It includes an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27) and tuition fees are covered. The stipend is expected to rise each year.

Eligibility: Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering-related discipline.

How to apply: Contact Dr Nilabja Guha by email with your current level of study, academic background, relevant experience, and a paragraph describing your motivation for the project.

Deadline: 28 October 2026.

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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