Postdoctoral Fellow, NSF EPSCoR

ABOUT THE ROLE The postdoctoral scholar will contribute to the NSF EPSCoR project, Idaho Community-Engaged Resilience for Energy-Water Systems (I-CREWS). The role involves leading data analysis and modeling on the sub-project titled Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley. The postdoc will combine ground-based measurements of evapotranspiration and satellite-based consumptive use modeling to compare outdoor water use and energy demand across agricultural and urban land uses. KEY RESPONSIBILITIES - Lead data analysis and modeling for the sub-project on agricultural-to-urban transitions in the Treasure Valley - Combine ground-based measurements of evapotranspiration in turfgrass and satellite-based consumptive use modeling - Develop and validate locally relevant methods to estimate consumptive use across mixed urban-agricultural landscapes - Estimate the energy required for water system operations under different land-use and infrastructure configurations - Co-produce case studies with local partners to inform alternative futures modeling and resilience planning MINIMUM QUALIFICATIONS - PhD in hydrology, civil or environmental engineering, water resources, geography, environmental science, agricultural engineering, remote sensing, or a closely related field, completed by the start date - Experience working with quantitative analysis, modeling, or data-driven methods related to energy-water systems - Experience collaborating with multidisciplinary teams, community partners, or stakeholder groups - Experience presenting or documenting research methods, findings, or technical information - Experience working with environmental or geospatial datasets, including remote sensing, flux tower or micrometeorological data, weather or climate data, or hydrologic observations - Experience conducting quantitative data analysis related to hydrologic systems, including statistics, time-series analysis, geospatial analysis, or model calibration and validation - Experience using scientific programming or data-analysis languages such as Python, R, or MATLAB to process environmental datasets and implement models - Evidence of scholarly activity through peer-reviewed publications, conference presentations, or equivalent research outputs SPECIAL REQUIREMENTS - Must pass a criminal background check as a final candidate - Position is contingent upon the continuation of work and/or funding SELECTION PROCESS - Applications received by July 10, 2026, will receive first consideration - The position is open until filled HOW TO APPLY - Submit a Resume or CV - Submit a Cover Letter or Letter of Application - Complete all required supplemental questions in the application portal EMPLOYMENT DETAILS - Employer: University of Idaho - Location: Boise, ID (IWRRI, College of Agricultural & Life Sciences) - Posting Number: SP005318P - Position Type: Fiscal Year, Full Time (1.0 FTE) - Employee Category: Exempt - Visa Sponsorship: Uncertain