We are looking for a highly motivated researcher whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models.” The overarching aim of the project is to develop the next generation of statistical tools for fitting stochastic epidemic models to infectious disease outbreak data. The post will contribute to cutting-edge methodological research on Bayesian inference for complex stochastic transmission models, as part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis.
For more information, please view the job announcement.
