JOB: Research positions with the UNAIDS Reference Group

Dear friends and colleagues,

We are seeking team members for two positions at Imperial College London for projects related to epidemiology, estimates, and modelling of the global HIV epidemic working closely with the UNAIDS Reference Group on Estimates, Modelling and Projections:
http://www.imperial.ac.uk/jobs/description/MED00466/research-assistant-or-associate-unaids

http://www.imperial.ac.uk/jobs/description/MED00463/research-assistantassociate

Both positions are fixed-term to December 2019 in the first instance, and open to candidates at the postdoctoral and predoctoral level.

The first position is for Research Manager for the UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org), an international collaboration of experts on HIV epidemiology, surveillance, and modelling who provide scientific guidance to UNAIDS and partner organizations on the methods and data used for global HIV epidemic estimates and projections. The post holder will join the Secretariat of the UNAIDS Reference Group, working closely with co-chairs at Imperial College London and Dr. Leigh Johnson at the University of Cape Town to (1) coordinate research activities amongst a large number of international research partners and stakeholders, (2) lead new research on epidemiological analysis and modelling related to the objectives of the UNAIDS Reference Group, and (3) set the agenda of the Reference Group.

The second position is to develop new statistical and mathematical modelling approaches for estimating HIV epidemic trends and transmission dynamics. The post will be joint with the Department of Infectious Disease Epidemiology and the Imperial College Data Science Institute, with a number of potential project opportunities, including:

* 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.

I would be grateful if you could please share these advertisements with your networks, and please encourage interested candidates to be in touch with myself, Dr. Leigh Johnson at the University of Cape Town, or Dr. Seth Flaxman (Dept of Maths / Data Science Institute, Imperial College London).

Many thanks,
Jeff