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Position: Postdoctoral Research Scientist - Geospatial Modelling of Epidemiology
Institution: University of Oxford
Department: Big Data Institute
Location: Oxford, Oxfordshire, United Kingdom
Duties: The Malaria Atlas Project (MAP) is seeking to appoint a scientist with a strong background in any field of geospatial modelling who will contribute to our mission of mapping global burdens of Plasmodium falciparum and Plasmodium vivax malarias. The role will involve the development and application of cutting edge geospatial approaches to modelling across a wide range of epidemiological settings. You will develop statistical methods to produce global estimates of the burden of malaria. You will be expected to follow and contribute to coding and data-management standards. You will be expected to follow best-practice in writing code, including the use of source-control and a commitment to thorough documentation
Requirements: An understanding of spatiotemporal modelling and expertise in geostatistics, random-field models, or equivalent are essential. You will have a PhD or equivalent experience in mathematics, statistics, or a similar quantitative discipline
   
Text: Postdoctoral Research Scientist in Geospatial Modelling of Epidemiology Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford Grade 7: £31,604- £38,833 with a discretionary range to £42,418 p.a. The Malaria Atlas Project (MAP) is seeking to appoint a scientist with a strong background in any field of geospatial modelling who will contribute to our mission of mapping global burdens of Plasmodium falciparum and Plasmodium vivax malarias. The roles will involve the development and application of cutting edge geospatial approaches to modelling across a wide range of epidemiological settings. You will work collaboratively with other scientists within the wider MAP group to develop statistical methods to produce global estimates of the burden of malaria. An understanding of spatiotemporal modelling and expertise in geostatistics, random-field models, or equivalent are essential. An understanding of the epidemiology a vector-borne disease such as malaria is desirable but not essential. You will be expected to follow and contribute to coding and data-management standards. You will be expected to follow best-practice in writing code, including the use of source-control and a commitment to thorough documentation. You will contribute to and, as appropriate, lead in the preparation of scientific reports and journal articles for publication of research findings from this work in open access journals. Travel to collaborators in Europe, the United States, Africa, and Asia will be part of the role and you will be expected to present the findings from your work at selected international conferences. You will have a PhD or equivalent experience in mathematics, statistics, or a similar quantitative discipline. The post is available full-time, fixed-term for 2 years 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. The closing date for applications is 12.00 noon on Monday 12 March 2018. Contact Person : HR Assistant Vacancy ID : 133538 Contact Phone : 01865 612922 Closing Date : 12-Mar-2018 Contact Email : bdi.hr@ndm.ox.ac.uk Click on the link(s) below to view documents Filesize 133538 - job description 366.4
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