Postdoctoral Fellow, NSF EPSCoR

About the role

The postdoctoral scholar 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.

Responsibilities

• 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

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

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

Skills

• Strong quantitative skills
• Experience with remote sensing and GIS
• Ability to work independently and collaboratively
• Excellent communication and presentation skills

Benefits

N/A

Pay

$60,000 annually or higher depending on experience

Schedule

N/A

Additional Preferred

• None