A post is available for a researcher to join a team doing research on mathematical models to inform decision making during infectious disease outbreaks. The post will be based at the Centre for Mathematical Modelling of Infectious Diseases (CMMID) at the London School of Hygiene & Tropical Medicine (LSHTM). The post-holder will work on methods to make, assess and aggregate nowcasts and forecasts of the epidemiology of Covid-19 in the short, medium and long term.

Part of the work will build on existing research in on real-time modelling of Covid-19 (see http://epiforecasts.io/covid and https://cmmid.github.io/topics/covid19/), and the post-holder will contribute to the development and refinement of methods to model the spread of SARS-CoV-2. Another, related part of the work will involve developing a European forecasting platform akin to the existing CDC forecast hub in the US (https://covid19forecasthub.org/) and analysing the performance of the forecasts generated. This position therefore provides an opportunity to have a tangible impact on improving real-time awareness and informing the response to this and future epidemics, with plenty of scope to contribute analyses topics of immediate policy relevance as they come up.

The position can be appointed at the academic Research Fellow or Research Assistant level determined by the applicant’s previous experience.