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Mengyan Zhang

Top university

4 months ago

PhD Position in Machine Learning and Sequential Decision-Making for Health Systems at University of Bristol University of Bristol in United Kingdom

Degree Level

PhD

Field of study

not provided

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

University of Bristol

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Where to contact

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About this position

A PhD position is available in the group of Mengyan Zhang, Lecturer (Assistant Professor) at the University of Bristol, focusing on machine learning and sequential decision-making methods such as Bayesian optimisation and reinforcement learning. The research will explore both methodological advances and real-world applications, particularly in health systems.

The group is part of the School of Computer Science and collaborates with networks in machine learning and global health. The ideal candidate will have a strong background in machine learning, statistics, or related fields, and should be enthusiastic about both theoretical innovation and practical impact. The position is set to start in September 2026. While the post does not specify funding details, interested applicants are encouraged to review the research directions and application process via the provided link, and to contact Dr.

Zhang with their CV, transcript, and a brief statement of research interests. The University of Bristol offers a vibrant research environment with opportunities for interdisciplinary collaboration, and the group’s work spans both theoretical and applied aspects of AI, with a particular emphasis on health-related challenges. The application window is open, and prospective students should prepare their materials and reach out for further information.

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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