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Position Summary:
The Quantitative Ecological Dynamics ( QED ) Laboratory in the Departments of Statistics and Biological Science is seeking applications from outstanding candidates for a Postdoctoral Researcher (PR) position. This position is part of the NSF funded project "Effects of temperature on vector-borne disease transmission: integrating theory with empirical data". The PR will join a large collaboration spanning multiple universities. Duties of the PR include statistical analysis of incidence/case data of vector-borne infections from the field cites in Ecuador and the validation of mechanistic models of disease spread. This may include the development of new methods. The PR will prepare technical reports detailing all aspects of the work done (such as analysis methods), and interpretation of results. The PR will be responsible to creating and maintaining code for the reproducible analysis of all data, possibly including the creation of an analysis package. The PR will also prepare articles for submission to peer-reviewed journals, present findings at conferences, and participate in collaborative aspects of the NSF project and the QED lab (including travel for collaboration meetings).

Required Qualifications:
PhD in Applied Math, Statistics, or Mathematical Biology. Candidates with PhDs in Biological sciences will be considered with evidence of significant quantitative/statistical training. Extensive experience coding in R or another programming language. Excellent written and oral communication skills.

Preferred Qualifications:
Expertise in Bayesian methods and Monte Carlo computation methods. Experience in building and analyzing mathematical models of infectious disease spread (e.g., dynamical systems models), particularly as applied to vector-borne diseases. Experience in maintaining code repositories, for example using GIT or Mercurial. Experience using LaTeX.



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