The Department of Civil and Environmental Engineering at Colorado State University (CSU) is seeking a Postdoctoral Fellow in hydrology and ecosystems modeling, with a focus on the assessment of agricultural conservation practices in irrigated watersheds. Specifically, the project seeks to: i) improve integrative assessment of water quality effects and ecosystem services from agricultural practices at the watershed scale; and ii) develop methods for exploring effective point source and nonpoint source nutrient trading strategies.
The selected individual will work with Dr. Arabi at CSU and Dr. Green at the USDA Agricultural Research Service (ARS) Water Management and Systems Research Unit. The incumbent will be housed at ARS working across teams to test and apply the distributed watershed models such as the Agricultural Ecosystems Services (AgES) model and other watershed modeling tools developed by the project team at CSU and ARS Water Management and Systems Research Unit, within the Center for Agricultural Resources Research.
The incumbent will communicate and work with team members to:
1) Develop new science modules for assessment of agricultural conservation practices in irrigated agroecosystems.
2) Integrate new modules into a distributed routing framework within AgES, or by sharing components.
3) Develop and demonstrate methods for point source – nonpoint source nutrient trading, including specific methods for quantification of trading ratios under hydrologic uncertainty.
4) Develop and demonstrate system-level criteria for assessment of water quality effects and ecosystem services from agricultural practices.
5) Develop and demonstrate techniques for prioritization of locations and types of agricultural conservations practices (individually or in combination) using multi criteria decision analysis and optimization techniques.
6) Work closely with team scientists to prepare findings for publication in peer-reviewed journals and presentations at meetings and/or stakeholder groups.
The current position can leverage modeling tools, web services, data, stakeholder relationships, and institutional knowledge created through this complementary work.