Ecohydrological Post-Doctoral Research Scholar

North Carolina State University
Raleigh, NC, United States
Position Type: 
Postdoc
Organization Type: 
University/Academia/Research/Think tank
Experience Level: 
Not Specified
Degree Required: 
Doctorate

EXPIRED

Please note: this job post has expired! To the best of our knowledge, this job is no longer available and this page remains here for archival purposes only.

Essential Job Duties

An ecohydrological postdoc position is requested to participate in a team-oriented project focused on quantifying the role that forested lands play in providing clean and stable surface drinking water to communities and populations across the southeastern United States, and quantifying the economic value of this important ecosystem service.

Duties for this position include, but are not limited to: 1) Operating, modifying, and evaluating hydrologic and water quality models under multiple land use scenarios from the watershed to the regional scale; 2) Performing geospatial analysis in a Geographic Information System (GIS) on a variety of vector and raster data; and 3) Developing and/or contributing to project products including maps, reports, web applications, scientific journal articles, and presentations to stakeholders and the scientific community. The incumbent will also participate in the mentoring of graduate students supported by this project.

Minimum Experience/Education

Ph.D. or equivalent doctorate (e.g., M.D., D.V.M., Sc.D.) in appropriate field awarded no more than five (5) years from initial date of postdoctoral appointment.

Preferred Experience, Skills, Training/Education

Strong quantitative skills that integrate field observations with empirical and process-based modeling to understand the linkage between forest land management and land use change with water quantity and quality.
Strong hydrology background, especially knowledge of water quantity and quality issues in the southeastern United States.
Skills and experience in applying hydrologic and water quality models (e.g., SWAT, HSPF, MIKE SHE, SPARROW)
Skilled in geospatial analysis, data, and associated tools (e.g., ArcGIS, GRASS GIS, etc.)
Understanding of climate model forecasts