PhD Project: Imperial College Mathematics Student Background: Theoretical Physics, Mathematics, Statistics, Electrical Engineering (BioMedical knowledge not required)
The student will join a unit investigating links between social network structure, social variables and health beliefs/outcomes. In particular we explore the links between social co-ordinates (geographic co-ordinates, age, education etc) and social network structure. We investigate tools to infer possible network structures given diverse types of observed data: from small surveys to large-scale network data. We are interested in constructing new, geometric, metrics of social inequality and using inferred values of these metrics to account for inequalities in health outcomes. We are further developing approaches to optimally influence health sentiment processes on partially observed networks including continuum theories. One of our specific application areas is vaccine trust and how it is constrained by social co-ordinates and social network structure -- we work with partners both in the UK and India. We draw on, and develop, tools pertaining to Bayesian Inference, Statistical Physics and Dynamical Systems/ Control Theory. We are looking for passion, scientific intuition and a willingness to join our community. We specifically welcome students from underrepresented groups.
Further enquiries - contact with a CV detailing academic performance (i.e. including as detailed as possible information about grades/marks or equivalent): Nick Jones (Imperial Mathematics) https://www.imperial.ac.uk/people/nick.jones