Fully Funded PhD in Statistical Methods for Detecting Healthcare-Associated Infections at University of Leeds University of Leeds in United Kingdom

Fully funded PhD opportunity at the University of Leeds in the UK for a student interested in statistics, medical statistics, mathematics, and infectious disease modelling.

The project focuses on developing new statistical methods to detect unusual patterns in healthcare-associated infections. It builds on the Farrington model and aims to introduce modern spatiotemporal and adaptive approaches that can support real Infection Prevention and Control teams.

This is a 3.5-year funded PhD and is aimed at UK/home students. The post is especially suitable for applicants with a strong quantitative background and programming experience in R or Python. An interest in real-world health systems and infectious disease applications would be a strong fit.

Supervisor/announcer details in the post identify Sofya Titarenko, a Lecturer at the University of Leeds, as the contact person. The announcement includes a LinkedIn profile and a link to the full post with application information.

If you are looking for a research-focused PhD with healthcare impact, this opportunity combines statistical methodology, public health relevance, and applied computational work.