Plaza de profesor ayudante doctor en la Universidad de Málaga
26 April 2017JOB: Statistical Modeller, University of Bristol
26 April 2017Plaza de profesor ayudante doctor en la Universidad de Málaga
26 April 2017JOB: Statistical Modeller, University of Bristol
26 April 2017Postdoctoral Research Scientist in Geospatial Modelling of Infectious Diseases
Applications to be received by 12pm on Wednesday 10th of May 2017
Grade 7: £31,076 – £38,183 with a discretionary range to £41,709 p.a.
Applications are invited for a Postdoctoral Research Scientist in Geospatial Modelling of Infectious Diseases at the Malaria Atlas Project (MAP) led by Professor Peter Gething in the Nuffield Department of Medicine, Big Data Institute. MAP brings together researchers based around the world with expertise in a wide range of disciplines from public health to mathematics, geography, and epidemiology. 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. 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. The position is fixed-term for 2 years in the first instance and is funded through the Institute of Health Metrics and Evaluation (IHME), The University of Washington, Seattle.
You will hold first or upper second class Bachelor degree and PhD or equivalent experience in a quantitative discipline with a demonstrable competence in spatiotemporal modelling. You will have expertise in geostatistics, random-field models, or equivalent and demonstrable commitment to using best practices in writing code, including the use of source control, documentation, and coding standards. You will also have the ability to manage own academic research and meet defined milestones on time; demonstrable evidence of having worked successfully within a collaborative, team-based research setting and excellent communication skills (oral and written). The position is fixed-term for 2 years in the first instance and funded by the Bill and Melinda Gates Foundation.
Please quote reference 128455 on all correspondence. You will be required to upload a CV and supporting statement as part of your online application.
Only applications received before 12.00 midday on Wednesday 10 May 2017 can be considered.
Contact: Joanne White (01865 287507)
More details etc. here: https://www.ndm.ox.ac.uk/current-job-vacancies/vacancy/128455-Postdoctoral-Research-Scientist-in-Geospatial-Modelling-of-Infectious-Diseases