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.

<p>The University of Bristol is offering a PhD position in the area of machine learning, with a focus on sequential decision-making methods such as Bayesian optimisation and reinforcement learning. The successful candidate will join the research group led by Dr. Mengyan Zhang, Lecturer (Assistant Professor) in the School of Computer Science. The project aims to develop intelligent systems that can learn, adapt, and make decisions in complex real-world settings, with particular applications in health systems.</p> <p>Research in the group covers both theoretical and practical aspects of experimental design, robust algorithm development, and causal inference in sequential decision-making. Applications span synthetic biology, disease surveillance, survey design, and public policy. The group is part of the Machine Learning and Global Health Network, and Dr. Zhang has extensive experience collaborating with leading institutions such as the University of Oxford and the Australian National University.</p> <p>Applicants should have a strong background in machine learning, statistics, or a related field, and be enthusiastic about methodological innovation and real-world impact. The position is ideal for highly motivated students interested in reinforcement learning, Bayesian optimisation, and their applications in health and other domains. No specific funding details are provided, and candidates are encouraged to inquire directly for more information.</p> <p>To apply, review the research directions at the provided link, prepare your CV, transcript, and a short paragraph about your research experience and interests, and contact Dr. Mengyan Zhang by email. The anticipated start date is September 2026, with an application deadline of August 1, 2026.</p>