The Computational Epidemiology Laboratory seeks an exceptional postdoctoral researcher with interdisciplinary interests and a passion for using complex systems models (e.g., agent-based, microsimulation, system dynamics) to improve human health and well-being. The current focus of the group is on developing complex systems models in the following areas:
The selected individual will have the opportunity to work on one or more of the above projects, although preference will be given for working primarily on the food environment model. This is a 2-year fully funded position. Salary range is $45,000 to $50,0000 per year.
Required Experience: The candidate should have experience in the development, calibration and validation of complex systems models. Intermediate programming experience in C++, NetLogo, Repast, or MASON; intermediate experience in using R for statistical analysis; and working with multiple stakeholders from diverse backgrounds. A strong publication record and/or grant writing experience will be valuable but not necessary.
Desired Experience: Experience with cost-effectiveness analysis, using ArcGIS or GIS packages in R.
Required Certification(s) or License(s): PhD in epidemiology, biology, ecology, geography, social work, mathematics, computer science or related discipline.
Supervisory duties: The candidate will be provided with opportunities to supervise research assistants, develop their own grant applications and gain relevant experience in teaching (depending on experience and availability of appropriate teaching opportunities).
Application instructions: Applicants are asked to prepare a single PDF file that contains a brief cover letter and current CV. Applicants should mention there preference for modeling projects (see above list) in the cover letter. Send the PDF file to [email protected] with the subject line “Health_ABM_Postdoc-[your name]” Applications will be reviewed as received. For full considerations, applications should be received by April 15, 2016.