The University of Manchester
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1 month ago
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
Fully funded 3.5-year PhD studentship for UK/home students. Includes an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27) and tuition fees paid; stipend expected to increase each year.
Deadline
Oct 28, 2026
Country
United Kingdom
University
The University of Manchester

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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
Fully funded 3.5-year PhD studentship for UK/home students. Includes an annual tax-free stipend at the UKRI rate (£21,805 for 2026/27) and tuition fees paid; stipend expected to increase each year.
What's required
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 details of your current level of study, academic background, relevant experience, and a paragraph explaining your motivation for the PhD project.
More information can be found here
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