Postdoctoral Fellow, NSF EPSCoR

Position Title

Postdoctoral Fellow, NSF EPSCoR Division/College College of Agricultural & Life Sciences

Location

Boise, Department IWRRI

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). The sub-project, "Coupled Water and Energy Consequences of Agricultural-to-Urban Transitions in the Treasure Valley", seeks to increase understanding of how physical infrastructure, data, governance, local knowledge, and community context shape resilience. The postdoc will lead data analysis and modeling, combining ground-based measurements of evapotranspiration in turfgrass with satellite-based consumptive use modeling to compare outdoor water use and associated energy demand across agricultural and urban land uses.

The work includes:
1) developing and validating locally relevant consumptive use methods across mixed landscapes,
2) estimating the energy required for water system operations under different land‑use and infrastructure configurations, and
3) co‑producing case studies with local partners to inform alternative futures modeling and resilience planning for the Treasure Valley.

• 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

• 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.

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Listed degree qualification is required at time of hire.

Exempt | Full Time | FTE 1 | Pay Range: $60,000 annually or higher depending on experience.

This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy.