Post-doc opportunities

Postdoc: Mathematical Modeling of Dengue Virus Epidemiology 
by the Research Training Group (RTG) in the Mathematical Sciences at North Carolina State University

PROJECT DESCRIPTION: The Research Training Group (RTG) in the mathematical sciences at North Carolina State University is searching for a postdoc interested in working on two NIH-funded projects that will build, test and refine stochastic, spatially explicit, simulation models that link insect population dynamics and genetics with human disease epidemiology. RTG is developing a city-scale model for the transmission of dengue virus, utilizing rich entomological, epidemiological and human movement data sets from a research collaboration focused in Iquitos, Peru. A major goal of the work is to predict the impacts of various interventions (such as conventional mosquito control, vaccines, and evolution-based novel transgenic mosquito management methods) on dengue.

The incumbent will lead modeling efforts to further develop and test the epidemiological component of our model and integrate that model with the entomological model. RTG is also interested in building simple spatial and non-spatial, deterministic models as heuristic tools for better understanding basic principles, but they are not looking for applicants who are only interested in working with simple, generic models.

An important part of these projects involves field experiments and epidemiological studies by our collaborators in Peru to acquire data that will inform the structure and parameterization of the models, and a large-scale mosquito control study to provide data against which model predictions will be tested. The person in this position will have the opportunity to travel to Peru to become more familiar with the epidemiological and entomological work at the field site.

The funding for this postdoctoral position is through two NIH research grants. There will also be opportunities to work with students and faculty involved in NC State’s Center for Genetic Engineering and Society ( and in the Research Training Group on Mathematical Biology ( which focuses on questions relating to parameter estimation for biological models. Much of the work is part of a collaboration with researchers at Emory, UC Davis and Notre Dame.

Qualifications: Training in ecological or epidemiological modeling and experience with development of computer simulation models. Experience in C++ would be highly desirable, as would be statistical skills.

To apply: email a cover letter and CV to

For more details on the project see the following publications:

Magori, K., M. Legros, M. Puente, D. A. Focks, T. W. Scott, A. Lloyd, F, Gould. 2009. Skeeter Buster: A stochastic, spatially-explicit modeling tool for studying Aedes aegypti population replacement and population suppression strategies. PLoS Negl Trop Dis 3(9): e508. doi:10.1371/journal.pntd.0000508

Xu, C., Legros, M., Gould, F, Lloyd, A. L. 2010.Understanding Uncertainties in Model-Based Predictions of Aedes aegypti Population Dynamics. PLoS Negl. Trop. Dis. 4(9): e830. doi:10.1371/journal.pntd.0000830

Legros, M., Magori, K., Morrison, A.C., Xu, C., Scott, T.W., Lloyd, A.L., Gould, F. 2011. Evaluation of location-specific predictions by a detailed simulation model of Aedes aegypti populations. PLoS ONE 6(7), e22701. doi:10.1371/journal.pone.0022701

Okamoto KW, Robert MA, Gould F, Lloyd AL (2014) Feasible Introgression of an Anti-pathogen Transgene into an Urban Mosquito Population without Using Gene-Drive. PLoS Negl Trop Dis 8(7): e2827. doi:10.1371/journal.pntd.0002827

Smith, D.L., et al.  (2014). Recasting the Theory of Mosquito-Borne Pathogen Transmission Dynamics and Control. Trans. R. Soc. Trop. Med. Hyg. 108, 185-197. DOI:10.1093/trstmh/tru026

(Source: ECOLOG-L)


Postdoctoral Research Fellow in Statistical Modelling of Spatio-Temporal Systems at Stockholm University, Sweden

Postdoctoral Research Fellow in Statistical Modelling of Spatio-Temporal Systems at the Department of Mathematics. Reference number SU FV-2278-14. 
Deadline for applications: November 17, 2014.
Additional information you can find by clicking here.

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