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.

• Modelling the optimal design of new HIV surveillance platforms in sub-Saharan Africa that leverage biomarkers for recent HIV infection and HIV case surveillance data.

• Analysis of HIV epidemic trends and transmission dynamics in general population HIV cohort studies in SSA.

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 Imperial 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 inform the work of the UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org), an international collaboration of epidemiologists, statisticians, demographers, and surveillance experts who advise UNAIDS on methods and data underpinning global HIV epidemic estimates.

Interested candidates are encouraged to contact Dr Jeff Eaton (jeffrey.eaton@imperial.ac.uk) or Dr Seth Flaxman (s.flaxman@imperial.ac.uk).