The closing date for this job has passed; return to the main list for other jobs

Modelling COVID-19 vaccination & surveillance strategies using network models, behavioural games & simulations using detailed spatio-temporal datasets

In the position, you will be a member of a substantial team working on COVID-19 modelling, with Prof. Rowland Kao and collaborations with Dr. Alex Corbishley (Edinburgh), Dr Jessica Enright (University of Glasgow), Martine Stead and Anne-Marie Mackintosh (both University of Stirling). You will work closely with Public Health Scotland (PHS) and the Scottish Environmental Protection Agency (SEPA, responsible for COVID-19 wastewater surveillance). Using a combination of mathematical and simulation-based approaches, you will analyse COVID-19 vaccination uptake in Scotland, in order to inform our understanding of how factors of deprivation and ethnicity might influence variability in uptake and therefore impact the future success of COVID-19 controls including in the presence of other seasonal infections. Working with a research software engineer, your analyses will inform the further development of an existing large scale agent-based simulation model (doi: currently being used by PHS to generate medium term projections of COVID-19 cases in order to inform future control policies. Subject to data sharing agreements, these analyses will exploit unusually detailed spatial information on cases of COVID-19 in Scotland and outputs from SEPA’s wastewater surveillance programmes. For the appropriate person, remote working from within the UK is a possibility (to be negotiated).

University of Edinburgh
United Kingdom
Closing date
April 15th, 2021
Posted on
March 18th, 2021 18:57
Last updated
March 18th, 2021 18:57