Research Associate in Spatio-temporal Epidemiology

2 months ago


Lancaster, United Kingdom Lancaster University Full time

This is an exciting opportunity to work in two international and high impact projects: ‘Controlling emergent _Anopheles stephensi_ in Ethiopia and Sudan (CEASE)’, an inter-disciplinary project funded by NIHR-Wellcome Partnership for Global Health Research Collaborative Award, and ‘Equipping countries for evidence-based malaria intervention strategies’ funded by the Bill & Melinda Gates Foundation through Malaria Elimination Initiative/University of California San Francisco. The projects aim to identify and optimise control measures to reduce malaria transmission in Africa and invasive/autochthonous’ mosquito control management.

The postholder will be responsible for developing novel statistical methods aimed at optimal spatio-temporal sampling designs for malaria surveillance and control and dynamic modelling. This exciting opportunity will allow the postholder to work on multi-country and multi-institutional projects within a team of world-leading malaria experts. If you are passionate about using your skills in statistical modelling to make a difference to complex problems such as malaria elimination, then we would love to hear from you.

You should have good knowledge of Bayesian hierarchical modelling and Bayesian spatial and spatiotemporal models; show a high proficiency in working within the R statistical environment; demonstrable experience of analysing spatial and temporal data for research purposes; a good understanding of ecological and epidemiological concepts; experience of working in multi-disciplinary teams; and effective communication skills. A desire to be part of an international collaboration, and be willing to travel occasionally to Africa and the US is essential for this position.

This postholder will be based at Lancaster Medical School and will work with spatial epidemiologist Dr Luigi Sedda (Lancaster Medical School), Prof Martin Donnelly at Liverpool School of Tropical Medicine, Prof Neil Lobo at University of Notre Dame and their projects teams.



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