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

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.

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.

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.

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.