Sofya Titarenko
Top university
4 months ago
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Fully Funded PhD in Statistical Methods for Detecting Healthcare-Associated Infections at University of Leeds University of Leeds in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded 3.5-year PhD studentship.
Deadline
Expired
Country
United Kingdom
University
University of Leeds
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Keywords
About this position
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.
Funding details
Fully funded 3.5-year PhD studentship.
What's required
Applicants should have a strong background in mathematics, statistics, medical statistics, or another quantitative field. Solid programming skills in R or Python are required. Interest in infectious disease modelling and real-world health systems is desirable. The opportunity is for UK/home students.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Lecturer
United Kingdom
Research Interests
Statistics
Neuropsychology
Salud Pública
Mathematics
Machine Learning
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.