Mengyan Zhang
Top university
3 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
No explicit funding details are provided in the post. It is not stated whether the position is fully funded, partially funded, or self-funded.
Deadline
Aug 1, 2026
Country
United Kingdom
University
University of Bristol

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Where to contact
Official Email
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
No explicit funding details are provided in the post. It is not stated whether the position is fully funded, partially funded, or self-funded.
What's required
Applicants should have a strong background in machine learning, statistics, or a related field. Enthusiasm for methodological innovation and real-world impact is important. Candidates should be highly motivated and ideally have experience in sequential decision-making, Bayesian optimisation, or reinforcement learning. No specific GPA or language test requirements are mentioned.
How to apply
Visit the provided link for more details about research directions and application instructions. Prepare your CV, transcript, and a short paragraph about your research experience and interests. Contact Mengyan Zhang via email if you are interested. Follow the application steps as outlined on the linked page.
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