Postdoctoral Fellow, NSF EPSCoR
Listed on 2026-06-27
-
Engineering
Research Scientist -
Research/Development
Research Scientist, Data Scientist
Postdoctoral Fellow, NSF EPSCoR
Position Details
Position Title:
Postdoctoral Fellow, NSF EPSCoR
Division/College:
College of Agricultural & Life Sciences
Department: IWRRI
Location:
Boise
Position Overview:
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), which 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.
Position Qualifications
Required Experience:
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.
Required
Education:
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.
Posting Information
FLSA Status:
Exempt
Employee Category:
Exempt
Pay Range: $60,000 annually or higher depending on experience
Type of Appointment:
Fiscal Year
FTE: 1
Full Time/Part Time:
Full Time
Funding:
This position is contingent upon the continuation of work and/or funding.
A visa sponsorship is available for the position listed in this vacancy.
- Uncertain
Open Until Filled:
Yes
Applicant Resources: https://(Use the "Apply for this Job" box below).-resources
Background Check Statement:
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement:
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.
Required Documents
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).