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University of Birmingham

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University of Birmingham PhD Studentship

PhD Studentship in Robust Bayesian Experimental Design and Inference University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The scholarship covers home tuition fees, training support, and a stipend at standard rates for 3 to 3.5 years. Self-funded students worldwide are welcome to apply.

Deadline

Dec 4, 2026

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Data Science
Psychology
Cognitive Science
Mathematics
Uncertainty Analysis
Bayesian Statistics
Statistics

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About this position

PhD Studentship in Robust Bayesian Experimental Design and Inference at the University of Birmingham, United Kingdom.

This project sits in statistics/data science and focuses on Bayesian methods, experimental design, inference, and uncertainty quantification. The research asks how violations of core assumptions affect Bayesian methods and how to develop methods that mitigate those effects. There is a particular emphasis on applications in psychology, cognitive science, and computer science, with encouragement for interdisciplinary collaboration and communication.

Applicants should have a background in, or a strong ability to learn, Bayesian methods, probabilistic machine learning, or inverse modelling. The scholarship covers home tuition fees, training support, and a stipend at standard rates for 3–3.5 years. Self-funded students worldwide are welcome to apply.

Deadline: 2026-12-04.

How to apply: Use the jobs.ac.uk application link and review the full advert. Informal inquiries can be directed to Dr. Sabina Sloman at [email protected].

Funding details

The scholarship covers home tuition fees, training support, and a stipend at standard rates for 3 to 3.5 years. Self-funded students worldwide are welcome to apply.

What's required

Applicants should have a background in or demonstrated ability to learn Bayesian methods, probabilistic machine learning, or inverse modelling. The project is in statistics/data science and values interdisciplinary collaboration and communication, with applications in psychology, cognitive science, and computer science. Self-funded students worldwide are welcome to apply.

How to apply

Review the job advert on jobs.ac.uk and submit an application through the linked application page. For informal inquiries, contact Dr. Sabina Sloman by email before applying.

More information can be found here

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