We are seeking to appoint a Postdoctoral Research Associate in Mathematical Modelling of Infectious Disease. The individual appointed will be working with Dr Emily Nixon and Dr Chris Overton in the research cluster of Applied Mathematics at the Department of Mathematical Sciences.

You will collaborate with the UK Health Security Agency to build upon existing research for predicting hospital occupancy for respiratory viral infections (COVID-19, influenza, RSV), with additional collaboration with local NHS partners across Manchester, Liverpool, and Bristol. You will extend and adapt an existing regional winter pressures admission forecasting model to predict trust level admissions and will couple this with an existing model for occupancy to obtain more reliable forecasts of pressures across critical care, general, and acute hospital beds. You will work as part of an interdisciplinary team of other mathematical modellers, clinicians, and data scientists to develop operational research products for winter 2023/24.

Experience in developing and using computational applied mathematical models and writing scientific publications is essential, as well as skills in data processing and manipulation. You should be familiar with R or python and ideally you would be proficient in both. Ideally you will also have experience in adapting, fitting, and running disease transmission models or statistical models and working with healthcare data.

You must have or be about to obtain a PhD in Applied Mathematics or another relevant quantitative subject. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful they will be appointed at grade 6, spine point 30. Upon written confirmation that they have been successful in being awarded their PhD, they will be moved onto grade 7, spine point 31 from the date of their award.

The post is funded by the Pandemic Institute at the University of Liverpool and is available on a fixed term basis for 10 months following appointment, with potential for an extension if other funding becomes available. Part-time appointments are also possible, with the contract duration extendable up to a maximum of 31/07/2024, depending on % FTE.