[ECOLOG-L] Post-Doc Opportunities: Watershed Modeling (Wetlands & Green Infrastructure)

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 (golden.heather@epa.gov) and/or Dr.
Charles Lane (lane.charles@epa.gov) with any questions about the opportunities.

1. Quantifying Wetland to Watershed Connectivity Research Project

Additional details and application information at:
http://ift.tt/1UyqtDe

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:
http://ift.tt/1XZusq0

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.

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