PhD SocNetID project, UMC Utrecht

ZonMw has awarded a TOP research grant to Professor Mirjam Kretzschmar (UMC Utrecht Julius Center) and Professor Vincent Buskens (Faculty of Social and Behavioural Sciences), for the proposal “Harnessing social networks for infectious disease control”. In this project we will study the interaction between individuals and populations with respect to risk perception, behavior and disease transmission in dynamic contact networks. The PhD candidate will conduct research surveys among men who have sex with men and among a population of elderly to study contact patterns and social networks. These studies will be conducted in collaboration with two GGDs in the Netherlands. One of the aims is to develop further a survey approach based on respondent driven sampling and to apply statistical methods for analysing data from such sampling schemes. The PhD candidate will conduct case studies in elderly populations and in men who have sex with men in collaboration with two GGDs.

More information on the vacancy.

Post-doc SocNetID project, UMC Utrecht

ZonMw has awarded a TOP research grant to Professor Mirjam Kretzschmar (UMC Utrecht Julius Center) and Professor Vincent Buskens (Faculty of Social and Behavioural Sciences), for the proposal “Harnessing social networks for infectious disease control”. In this project we will study the interaction between individuals and populations with respect to risk perception, behavior and disease transmission in dynamic contact networks. The post-doctoral researcher will develop and study mathematical models for infectious disease transmission and diffusion of information on contact networks and social networks. The post-doc will first gain insight into dynamic processes using simple deterministic models, and will then implement an individual based model for more complex simulation studies. 

More information on the vacancy.

Post-doc EMerGE-NeT project

Within EMerGE-NeT, we will create a multi-level network model of patient traffic at the intra- and inter-institutional level. For this modelling task there is a position for a post-doctoral researcher to develop a multi-level metapopulation model. The project will be conducted in close collaboration with the other consortium partners, who are collecting the data and contribute to model development. The post-doc researcher will work as part of a multidisciplinary team that has long-standing experience in collaboration on the interface between mathematical modelling and statistics, epidemiology and public health.

More information on the vacancy.