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, Seth and Oliver