Posted: 5/20/2018 (Employment)
Applications are invited for the post of Research Assistant or Associate to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London.
We are seeking outstanding candidates for projects developing new statistical methods and mathematical models for inferring HIV epidemic trends and transmission dynamics in sub-Saharan Africa.
Potential projects include:
New geostatistical models for spatio-temporal inference about HIV incidence in sub-Saharan Africa.
Developing statistical and mathematical models for combining administrative health system data and population survey data to understand HIV patterns and trends.
Validating approaches for utilizing HIV case surveillance data for epidemic estimation in sub-Saharan Africa.
Modelling and analysis of novel HIV surveillance strategies leveraging biomarkers for recent HIV infection and optimal design for new surveillance platforms.
Analysis of HIV epidemic trends and transmission dynamics in general population HIV cohort studies.
Duties and responsibilities
The post holder will collaborate closely with epidemiologists and mathematical modellers in the Department of Infectious Disease Epidemiology, and the statistics section within the Department of Mathematics and Data Science Institute. Various projects will also involve collaboration with external partners including UNAIDS, US Centers for Disease Control, PEPFAR, ministries of health and public health agencies, and the ALPHA Network of general population HIV cohort studies.
New methods and models will be expected to inform the work of the UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org), which is an international collaboration of epidemiologists, statisticians, demographers, and surveillance experts who advise UNAIDS on methods and data underpinning global HIV epidemic estimates. The UNAIDS Reference Group is coordinated by a secretariat based at Imperial College London and the University of Cape Town.
Applicants should have a PhD (for appointment to Research Associate) or MSc (for appointment to Research Assistant) in one of the following areas: statistics, mathematics, infectious disease epidemiology, population biology, theoretical physics, computer science or a similarly quantitative discipline, research experience in applied statistics with application to population health or infectious disease, including spatial statistics, Markov models, time series analysis, or hierarchical modelling and Working knowledge of mathematical modelling relevant to the project
This post is full time and fixed term until 30 November 2019 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
Should you have any queries please contact: Dr Jeff Eaton (email@example.com) or Dr Seth Flaxman (firstname.lastname@example.org).
Location: Imperial College London