Postdoctoral Research Associate – Watershed Hydrologic Modeling (Climate Change)
The Department of Geography at Indiana University – Bloomington is seeking applicants for a postdoctoral position in watershed modeling in the lab of Dr. Darren Ficklin. This NSF-funded position focuses on developing contemporary and future climate change-based estimates of streamflow and water temperature in watersheds across the United States and Canada. The overall goal of the project is to develop the ‘HydroClim’ dataset, which will be integrated with biodiversity data to provide a widely available resource for researchers and water resource managers to investigate the potential impacts of climate change on freshwater resources and biodiversity. The successful candidate will be expected to develop GIS-based Soil & Water Assessment Tool (SWAT) hydrologic models on high-performance parallel computing systems. In addition to having experience with SWAT, applicants should have experience with programming languages such as R, Matlab, or Python. The postdoc will also be encouraged to develop independent lines of research and will have the opportunity to collaborate with biologists, hydrologists, and informatics specialists at Indiana University, Saint Louis University, and Tulane University. Additional information is available at http://www.hydroclim.org.
The position is available for 2-3 years and contingent upon satisfactory annual reviews. The earliest start date is July 1, 2016; however, a later start date is negotiable. All applications must be made online and include a cover letter with a statement of research experience and interests, curriculum vitae, and contact information for three references. In addition, please send versions of these files to Dr. Darren Ficklin at [email protected] with the words “Watershed modeling position” in the subject line of the email. Review of applications will begin immediately and continue until the position is filled.
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A Ph.D. in a related research field is required by the starting date of employment and experience with the SWAT model is preferred.