Postdoc: ET Forecasting & Irrigation Decision Support

Oklahoma State University

Stillwater (OK)

In loco

USD 50.000 - 70.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Oklahoma State University seeks a Postdoctoral Scholar to lead the Oklahoma component of a project turning NASA Earth observations into actionable evapotranspiration forecasts for irrigation decisions. You will develop ET forecasting, enhance forecasts with soil moisture data, and translate forecasts into crop-water demand estimates for regional applications.

The role involves coordinating field campaigns, validating forecasts against tower and Mesonet data, and disseminating results through

Competenze

  • Ph.D. completed by appointment start date.
  • Demonstrated research productivity with first-authored publications.
  • Proficiency in scientific programming and large geospatial/time-series datasets.

Mansioni

  • Develop and evaluate baseline ET forecasting using OpenET data and GraphCast weather predictions.
  • Incorporate soil moisture data using NISAR SMAP and Sentinel-1 datasets and ML downscaling.
  • Translate forecasted crop water demand into irrigation demand estimates and integrate with OASIS tool.

Conoscenze

Python
R
MATLAB
Julia
Data analysis
Geospatial data

Formazione

Ph.D. in Biosystems or Agricultural Engineering, Civil or Water Resources Engineering, Environmental Engineering, Hydrology, Agronomy or Soil Science, Remote Sensing, Geography, Data Science, or closely related field

Strumenti

OpenET API
NISAR
SMAP
Sentinel-1
Python workflows

Descrizione del lavoro

Oklahoma State University seeks a Postdoctoral Scholar to lead the Oklahoma component of a project turning NASA Earth observations into actionable evapotranspiration forecasts for irrigation decisions. You will develop ET forecasting, enhance forecasts with soil moisture data, and translate forecasts into crop-water demand estimates for regional applications.

The role involves coordinating field campaigns, validating forecasts against tower and Mesonet data, and disseminating results through

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