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University of Bristol

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PhD Studentship in Learning and Decision-Making Under Uncertainty in Public Health University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jan 31, 2027

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Country

United Kingdom

University

University of Bristol

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Keywords

Computer Science
Epidemiology
Mathematics
Probabilistic Modeling
Reinforcement Learning
Active Learning
Adaptive Algorithms
Salud Pública
Resource Allocation
Statistics
Control System
ML

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About this position

[4-year University Scholarship; minimum tax-free stipend at the current UKRI rate (£20,780 for 2025/26 standard stipend); RTSG £8,400; full tuition fees covered.]

PhD Studentship: Learning and Decision-Making Under Uncertainty in Public Health at the University of Bristol.

This fully funded PhD project sits at the intersection of machine learning, statistical decision theory, and public health. It focuses on decision-making under uncertainty in dynamic environments where observations arrive sequentially and actions affect future outcomes. The successful candidate will work on methodological research in reinforcement learning, active learning, Bayesian decision theory, and stochastic optimisation for partially observed and evolving systems.

The project is motivated by important applications in public health and epidemiology, including adaptive disease surveillance, outbreak monitoring, resource allocation, and intervention planning. It also emphasizes scalable and interpretable approaches, combining probabilistic modelling, network-based representations, and modern AI methods. Research directions include adaptive data acquisition under resource constraints, RL-based sequential intervention and control, and robust learning under incomplete observations, changing environments, and distributional shifts.

The studentship is described as a 4-year University Scholarship for the 2027/28 academic year. Funding includes a minimum tax-free stipend at the current UKRI rate, a Research Training Support Grant (RTSG) of £8,400, and full tuition fee coverage. The posting states that the opportunity is open to competitive worldwide applicants.

Applicants should have foundational knowledge of machine learning and strong self-motivation. The application materials requested include a CV, a personal statement, a transcript of qualifying degrees, and optional research proposal and additional supporting evidence such as research outputs, thesis material, or code repositories.

Supervision is by Dr. Mengyan Zhang, whose research interests include sequential decision-making and public health. Applications are made online via the University of Bristol postgraduate application system, and candidates are also asked to email their application to the supervisor with the specified subject line.

Deadline: 31 January 2027.

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.

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