Salary: Grade 8: £40,792 - £48,677 with a discretionary range to £53,174 p.a.
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).
You will work collaboratively with other scientists within the wider MAP group to produce estimates of malaria metrics, taking shared responsibility for shaping the groups plans, and acting as a source of information and advice to other members of the group. In addition you will maintain rigorous data and code-management practices and regularly lead and contribute to the preparation and writing of scientific reports and journal articles.
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.
You will hold or be close to completion of a PhD in mathematics, statistics, biostatistics, or a similar quantitative discipline or equivalent experience.
This full-time position is fixed-term until 31 March 2021 in the first instance.
Further particulars, including details of how to apply, can be obtained from the document below. Applications for this vacancy should be made online and you will required to upload your CV and supporting statement as part of your application.
The closing date for this position will be 12.00 noon on Thursday 24 January 2019.