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Position: Research Fellow
Institution: University College London
Department: Division of Biosciences - Research Department: Genetics, Evolution and Environment
Location: London, Brazil, United Kingdom
Duties: The overall objective of this multiannual interdisciplinary project MEWAR is to research, model, develop and evaluate an early warning prediction model using ecological, weather, climatic, socio-economic and healthcare surveillance data and visualize the warnings and risks on a dashboard, in collaboration with other team members and our local partners in Recife and Campina Grande in northwest Brazil where he/she will travel for testing and field work
Requirements: PhD (or be studying towards it) in ecology, epidemiology or computer science, or another relevant subject area
   
Text: Research Fellow, - Ref:1880536 Click here to go back to search results Apply Now UCL Department / Division Division of Biosciences Specific unit / Sub department Research Department: Genetics, Evolution and Environment Location of position London Grade 7 Hours Part Time Hours per week (%FTE) 14.6 hours per week (40% FTE) Salary (inclusive of London allowance) £36,770 - £44,388 per annum Salary pro-rata for part time vacancies Duties and Responsibilities Applications are invited for a Research Fellow to join the Department of Genetics, Evolution and Environment. The post holder will be working in a team based jointly at UCL CBER and Institue of Risk and Disaster Reductions Centre Digital Public Health on a global data science health project combining heterogeneous data streams to develop spatial-temporal models of mosquito populations to support early warning systems predicting outbreaks of the Zika virus in tropical regions of Brazil. The overall objective of this multiannual interdisciplinary project MEWAR is to research, model, develop and evaluate an early warning prediction model using ecological, weather, climatic, socio-economic and healthcare surveillance data and visualize the warnings and risks on a dashboard, in collaboration with other team members and our local partners in Recife and Campina Grande in northwest Brazil where he/she will travel for testing and field work. The post is funded until 31st Dec 2023 in the first instance. Key Requirements PhD (or be studying towards it) in ecology, epidemiology or computer science, or another relevant subject area. Please note: Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (Salary £32,217 - £33,958 per annum, including London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections). Further Details A job description and person specification, can be accessed at the bottom of this page. Please ensure you read these carefully before applying for the post. To apply for the vacancy please click on the 'Apply Now' button below. For informal enquiries about the post please contact Kate Jones at kate.e.jones@ucl.ac.uk. If you have any queries regarding the application process please contact Biosciences staffing on biosciences.staffing@ucl.ac.uk quoting the vacancy reference number: 1880536. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 21 Dec 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and person specification Apply Now
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