This PhD project will develop and analyse small area measures of GI infection burden and control measures to understand the drivers of variation in GI infection burden between places. This will include developing a time series of open place-based indicators of GI burden and control using methods we have developed through the Place-Based Longitudinal Data Resource (https://pldr.org ). Applying advanced statistical methods the PhD will investigate the impact of changes in funding for Environmental Health services on staffing levels, food sampling, inspections and burden of GI infection. Working with local governments in the North West of England the PhD will explore the implications of these findings for the development of more effective control measures in circumstances where resources are constrained. This will provide crucial new evidence to inform local government financing and investment policies that reduce health inequalities.
The PhD will be based with a team internationally recognised for its health inequalities research, involve work as part of the WHO Collaborating Centre for Policy Research on Determinants of Health Equity. It will be part of the developing Liverpool City Region Civic Data Coop a £5 million investment in data linkage and will involve placements with local PHE Health Protection Teams and local authorities across the North West.
Candidates should have a 2.1 or 1st class degree in a relevant discipline – e.g. geography, economics, social science, data science, epidemiology, computer science, population health. A Master’s degree in a relevant discipline would be an advantage, as would clear evidence of an interest in developing quantitative methods in the study of health inequalities. The student will benefit from research training in policy analysis, advanced econometric and statistical methods, data science and the use of statistical software. They will develop skills in policy-relevant research on health inequalities and establish a body of high impact research and publications.
We invite applications from candidates who have a 2.1 or 1st class degree in a relevant biological science or quantitative science discipline. A Masters degree in a relevant discipline would be an advantage.
Applicants should send a full CV (including the names and email addresses of at least two academic referees), and personal statement to [email protected]. This should state: • An outline of how this programme of research and training will benefit from their past experience and impact upon their career aspirations.
The position may be based at either, The University of Liverpool, The University of Warwick or PHE (Colindale/ Porton Down), depending on the project. For some projects, students will be required to work at one of the partner Universities’ and spend time at PHE.
Thesis studentships cover research costs and tuition fees at the UK/EU rate for students who meet the residency requirements only.