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Position: Research Fellow - Ebola Virus Disease Modelling
Institution: London School of Hygiene & Tropical Medicine
Department: Mathematical Modelling of Infectious Diseases
Location: London, United Kingdom
Duties: The post holder will work on a large project to evaluate Ebola vaccine trials and vaccination strategies. The post involves analysing individual level social network data from Ebola-affected communities, and investigating the transmission of Ebola Virus Disease. The post-holder will quantify network characteristics from raw data, and use insights from these data to design and simulate phase 3 vaccine trials. This work will involve development and parameterisation of vaccination models that incorporate onset of immunity in vaccinated participants. There is scope for self-motivated research within the remit of the larger study
Requirements: The ideal candidate will hold a PhD in mathematical modelling, statistics, network science or quantitative discipline with a substantial component on infectious diseases, have expertise using specialist mathematical or statistical packages, ideally C/C++ and R
   
Text: Research Fellow in Ebola Virus Disease Modelling Department of Infectious Disease Epidemiology Salary: £39,304 to £44,634 per annum, inclusive. Closing Date: Sunday 30 September 2018 Reference: EPH-IDE-2018-40 Applications are invited for a mathematical modeller to join the Centre for the Mathematical Modelling of Infectious Diseases at the London School of Hygiene & Tropical Medicine (LSHTM). The post holder will work on a large project to evaluate Ebola vaccine trials and vaccination strategies. The post involves analysing individual level social network data from Ebola-affected communities, and investigating the transmission of Ebola Virus Disease. The post-holder will quantify network characteristics from raw data, and use insights from these data to design and simulate phase 3 vaccine trials. This work will involve development and parameterisation of vaccination models that incorporate onset of immunity in vaccinated participants. There is scope for self-motivated research within the remit of the larger study. The candidate will join a highly successful and supportive team at the forefront of Ebola modelling, and will have scope to develop their own research within this field, in collaboration with colleagues at LSHTM and elsewhere. It is expected that the work will involve a range of original scientific work and requires a high degree of personal motivation. The ideal candidate will hold a PhD in mathematical modelling, statistics, network science or quantitative discipline with a substantial component on infectious diseases, have expertise using specialist mathematical or statistical packages, ideally C/C++ and R. They will be highly motivated, able to write clearly and produce high quality written reports and be able to work well within a team environment. The ideal candidate will have a publication record in the field of modelling or statistical analysis of infectious diseases. Experience of analysing social network data would be an advantage.Further particulars are included in the job description. This is a full-time post, based in London and available with immediate effect for 3 years from the start date. This appointment is on the Academic Pathway scale at G6 with a starting salary of £39,304 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available. Applications should be made on-line via our website at http://jobs.lshtm.ac.uk . Applications should also include the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk . The reference for this post is EPH-IDE-2018-40. The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date. Further details: Job Description Email details to a friend Apply Online The London School of Hygiene & Tropical Medicine is committed to being an equal opportunities employer . in Share Find Jobs Jobs by Email Jobs by RSS Search Jobs: Search Advanced Job Search Login Please note: Javascript must be enabled to use this website. Email / Username: Password: Login Forgotten Details Register
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