Department of Epidemiology and Public Health, Imperial College London

Position ID: 1767-RESEARCH [#10472, SM102-17AL]
Position Title: Research Associate in Population Health and Quantitative Methods
Position Type: Postdoctoral
Position Location: London, London, City of, United Kingdom
Subject Area: Population Health and Quantitative Methods
Application Deadline: 2017/08/25 (posted 2017/07/26, listed until 2018/01/26)
Position Description:    

Research Associate in Population Health and Quantitative Methods

Department of Epidemiology & Biostatistics School of Public Health, Faculty of Medicine

Salary: £36,800 - £44,220 per annum Campus: St Mary’s Campus, Paddington

This is an exciting opportunity for an ambitious researcher to join a dynamic research group and carry out innovative methodological and empirical research in population health, environmental health, and global health. The position will involve the development, implementation, and application of novel methodology to answer a range of important questions in these areas. The work is at the cutting edge of global health science, and arises from collaborative research with the World Health Organization and with a worldwide network of scientists from most of the world’s countries, which will give the work far-reaching scientific and policy impact and visibility.

The position will be in the Environment and Global Health Research Group. The group is internationally renowned for its research in a number of areas including exposure and health effects of preventable risk factors, health forecasting, and spatiotemporal analysis of multi-dimensional health data.

The successful candidate must have an exceptional aptitude for analytical and critical thinking about the nature of data and scientific problems and quantitative methods; excellent programming skills; strong communication capabilities; motivation for problem solving; aptitude for interdisciplinary research and teamwork; and ability to work and learn independently. There will be scope for the post holder to transition from mentored research to an independent research agenda.

The ideal candidate must hold a PhD or equivalent in applied mathematics; (computational) statistics, physics, biostatistics, computer science, systems dynamic/modelling, econometrics, demography or a related quantitative subject; have substantial experience with statistical and/or mathematical and/or computational methods and models; superb programming skills; and track record of technical and scholarly excellence as demonstrated by publications and methods development and application.

This is a full-time post until 31 January 2019, based at the St Mary’s Campus, Paddington.

For informal enquiries, please contact Professor Majid Ezzati (majid.ezzati@imperial.ac.uk).

Closing Date: 25 August 2017 (Midnight BST) Interview Date: 14 September 2017

Imperial Expectations guide the behaviour of all our staff.

Our preferred method of application is online via our website at http://www.imperial.ac.uk/job-applicants (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM102-17AL.

Alternatively, if you are unable to apply online, please email adrian.lacey@imperial.ac.uk to request an application form. Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/


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Contact: Majid Ezzati
Email:
Postal Mail:
Imperial College London
London
SW7 2AZ
Web Page: https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

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