Postdoctoral Fellow, NSF EPSCoR

University of Idaho Job • Boise, ID

9d

About The Position

We are seeking a postdoctoral scholar to contribute to a sub-project of the NSF EPSCoR project – Idaho Community-Engaged Resilience for Energy-Water Systems (I-CREWS). This project seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience under meteorological, population, and technological change. The postdoc will lead 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 (ET) in turfgrass and satellite-based consumptive use (CU) modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses. The team will (1) develop and validate locally relevant methods to estimate consumptive use across mixed urban–agricultural landscapes, (2) estimate the energy required for water system operations under different land-use and infrastructure configurations, and (3) co-produce case studies with local partners to inform alternative futures modeling and resilience planning for the Treasure Valley.

Requirements

• 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

Responsibilities

• Lead data analysis and modeling on the sub-project titled “Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley”.
• Combine ground-based measurements of evapotranspiration (ET) in turfgrass and satellite-based consumptive use (CU) modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses.
• 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 for the Treasure Valley.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed