Three post-doctoral opportunities in watershed modeling are available via Oak Ridge Institute of Science & Education (ORISE) and located at the US EPA's National Exposure Research Laboratory in Cincinnati, Ohio, USA. All opportunities are for one year with potential to extend to at least two years based on available funding and EPA scientist recommendation.
Please contact Dr. Heather Golden ([email protected]) and/or Dr. Charles Lane ([email protected]) with any questions about the opportunities. 1. Quantifying Wetland to Watershed Connectivity Research Project Additional details and application information at: https://www.zintellect.com/Posting/Details/2000 Project Description We are currently researching how dynamic connections and interactions within watershed-scale wetland systems influence the downstream integrity and resilience of streams, lakes, and coastal waters in the United States. A key component of this research is the development and validation of modeling approaches and metrics for assessing wetland connectivity across multiple spatial and temporal scales. The research participant activities will involve conducting process-based and spatial modeling of watershed-scale wetland connectivity and the cumulative watershed hydrological and biogeochemical responses to variations in wetland connectivity. The goal of this project is to advance scientific understanding of the role of wetland hydrological (e.g., water storage) and biogeochemical (e.g., nutrient cycling) processes in maintaining watershed integrity and resilience. Qualifications Applicants must have received a doctoral degree in environmental engineering, geography, hydrology, environmental science, or a related field within five years of the desired starting date or completion of all requirements for the degree should be expected prior to the starting date. A strong background in watershed hydrology and biogeochemistry, watershed modeling (e.g., SWAT, HydroGeoSphere), and GIS and/or remote sensing is desirable. Strong mathematical skills and experience with one or more coding/scripting languages (preferably R, Python, Fortran, and/or Matlab) will also enhance the research experience. Experience with a collaborative research team is a plus. 2. Watershed-Scale Effects of Green Infrastructure Additional details and application information at: https://www.zintellect.com/Posting/Details/1976 Project Description We are currently researching modeling methods for scaling localized Green Infrastructure (GI) practices to multiple watershed drainage areas. Key components of this research are to quantify (1) the advantages and gaps in diverse models that represent different hydrological and biogeochemical processes involved with GI practices and (2) the cumulative impacts of localized GI implementation on downstream hydrology and water quality. The activities for this project will involve conducting process-based watershed-scale modeling to assess the multi-scale watershed hydrological and biogeochemical responses to variations in GI implementation. Qualifications Applicants must have received a doctoral degree in environmental engineering, geography, hydrology, environmental science, or a related field within five years of the desired starting date or completion of all requirements for the degree should be expected prior to the starting date. A strong background in watershed hydrology and biogeochemistry, watershed modeling (e.g., TOPMODEL, SWAT, HydroGeoSphere), and GIS and/or remote sensing is desirable. Strong mathematical skills and experience with one or more coding/scripting languages (preferably R, Python, and/or Matlab will also enhance the research experience. Experience with a collaborative research team is a plus.
