The Malaria Atlas Project (MAP) is seeking to appoint up to two highly motivated and talented Senior Postdoctoral Research Scientists to lead research into one of two principle areas of research: probabilistic mapping or mechanistic modelling of multiple malaria metrics.

The successful candidate(s) would ideally have a strong background in either the construction and sampling of hierarchical Bayesian models (in any field of application), with experience in geospatial statistics, Gaussian random fields, or equivalent auto-correlated error models or in computational simulation and fitting of epidemiological models with complex within-host dynamics and/or vector-host interactions (malaria, or equivalent disease process).

Experience of taking a lead role in spatiotemporal modelling, geostatistics, random-field models, or mechanistic modelling for a disease process with complex within-host and/or vector-host interactions is essential. In addition you will have a strong publication record in the field of spatiotemporal modelling, geostatistics, random-field models, or mechanistic modelling for a disease process. An understanding of the epidemiology of a vector-borne disease such as malaria is desirable but not essential. Travel to collaborators in Europe, the United States, Africa, and Asia will be part of the role.