Post Doctorate Position in Land Change and Ecological Modeling University of North Carolina at Charlotte, Center for Applied GIScience
We seek a post-doctoral fellow or exceptionally talented M.S. to contribute to the development of two GIS-based modeling efforts: a) spatially-explicit modeling of urban growth and land-cover change in North Carolina and b) spatially-explicit epidemiological modeling of the emerging infectious forest disease sudden oak death in California. The position will work closely with quantitative geographers, ecologists, mathematical epidemiologists, and remote sensing specialists to provide programming and computational solutions for scenario-based simulations in raster computing environments. Qualified candidates should be familiar with GIS software and data models, as well as advanced programming languages. Due to the large spatial scale of these models, experience in optimizing complex algorithms is highly desired. Interdisciplinary background applicable to understanding spatio-temporal dynamics of urbanization and/or disease spread is a plus. Evidence of technical writing skills and publication potential in high impact journals is expected. Travel to coastal California and/or Cambridge University (U.K) for fieldwork and research collaboration is likely. The position will be located at UNC Charlotte in the Center for Applied Geographic Information Science (www.gis.uncc.edu) with a 1 year appointment. Funding for subsequent years is likely. Start date: As soon as possible. Review of application will begin immediately. Applicants should submit the following via email to Ross Meentemeyer at [email protected]: cover letter summarizing background and interest in this position, curriculum vitae, and the names of 3 references (no letters needed at this point). Please include “Modeling Application” in the subject line of your email. The University of North Carolina-Charlotte is an AA/EOE. Ross Meentemeyer, Associate Professor Director, Center for Applied GIScience Department of Geography & Earth Sciences University of North Carolina at Charlotte 9201 University City Boulevard Charlotte, NC 28223-0001 www.gis.uncc.edu [email protected]
