Postdoctoral Scholar BF9457

Oklahoma State University; Stillwater (OK); Sur place; USD 50 000 - 70 000; Plein temps

Résumé du poste

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

Qualifications

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

Responsabilités

• 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.

Connaissances

Python

R

MATLAB

Julia

Data analysis

Geospatial data

Formation

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

Outils

OpenET API

NISAR

SMAP

Sentinel-1

Python workflows

Description du poste

AGRICULTURAL SCIENCES AND NATURAL RESOURCES Department of Biosystems and Agricultural Engineering 215 A Agricultural Hall Stillwater, OK 74078

• I 405-744-5431

bae.okstate.edu

Post Doctoral Scholar – Evapotranspiration Forecasting and Irrigation Decision Support

The Department of Biosystems and Agricultural Engineering is seeking a highly motivated Postdoctoral Scholar to lead the Oklahoma component of the project, which centers on turning NASA Earth observations into forecasts that irrigators and water agencies can act on. Groundwater from the Ogallala–High Plains Aquifer supports millions of irrigated acres across Kansas, Oklahoma, and Texas, and its continued decline is among the most consequential water sustainability challenges in the United States. The project delivers 10-day forecasts of crop evapotranspiration and irrigation demand, with modeling indicating potential water savings of 10–15% without a yield penalty.

Position Description

This position is a post-doctorate scholar position that will develop and evaluate a baseline crop evapotranspiration (ETc) forecasting capability that integrates OpenET historical and near-real-time ET retrievals with GraphCast weather predictions, targeting a 10-day forecast horizon under non-limiting water conditions. Enhance ET forecasts through soil moisture assimilation, using NISAR L-band backscatter with SMAP and Sentinel-1 as complementary datasets, and machine learning approaches that downscale coarse soil moisture products to field-relevant resolution across heterogeneous irrigated fields. Translate forecasted crop water demand into crop-stage-aware irrigation demand estimates, incorporating dynamic crop coefficients, effective rooting depth, growing degree days, and satellite vegetation indices for the region’s dominant irrigated crops — corn, soybean, cotton, sorghum, and alfalfa. Evaluate operational feasibility within producer-facing advisory platforms, including the Oklahoma Agricultural Scientific Irrigation Scheduling (OASIS) tool under deployment at OSU, and support prototype deployment with the Oklahoma Water Resources Board and the Oklahoma Mesonet. Build and maintain reproducible data pipelines, including automated OpenET API access, NISAR and SMAP retrieval, and Oklahoma Mesonet ingestion; perform quality assurance on eddy covariance ET, soil moisture, and producer irrigation records; and prepare metadata and derived products for archiving in NASA-approved repositories under the project’s Open Science and Data Management Plan. Coordinate seasonal field campaigns at OSU irrigation research sites and cooperating producer fields across Oklahoma, and validate forecasts against eddy covariance towers, Mesonet observations, and producer irrigation records. Disseminate results through peer-reviewed publications, technical reports, and presentations at regional and international meetings, and contribute to stakeholder workshops and proposal development.

Qualifications

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 a closely related field, completed by the appointment start date. Demonstrated research productivity evidenced by first-authored peer-reviewed publications. Proficiency in scientific programming and experience working with large geospatial or time-series datasets. Python is strongly preferred, as existing project workflows are Python-based; strong proficiency in R, MATLAB, or Julia, with the ability to work in Python, will also be considered. Research experience in evapotranspiration estimation, soil water balance modeling, hydrologic or crop water modeling, or satellite remote sensing of agricultural water use. Strong written and oral communication skills in English, and the ability to work both independently and as part of a multi-institution team. Valid driver’s license and willingness to travel to field research sites across Oklahoma.

Employment Conditions

Review of applications will begin 20 days after job is posted. For full consideration, submit all materials as soon as possible. Review of applications will continue until a suitable candidate is identified. Salary and benefits are competitive and commensurate with education, training, and experience. Retirement and long-term disability, medical, dental, and life insurance programs are available to the employee. The position is available as soon as an outstanding candidate is available.

OKLAHOMA COOPERATIVE EXTENSION SERVICE

OKLAHOMA AGRICULTURAL EXPERIMENT STATION FERGUSON

COLLEGE OF AGRICULTURE

About The Department

Biosystems and Agricultural Engineering is a unique department shared between two colleges, Ferguson College of Agriculture and the College of Engineering, Architecture and Technology. The department enhances the production and profitability of agricultural and biological products, and the conservation and management of natural resources through teaching, research, and outreach. We have graduate engineering (PhD, MS) and undergraduate (BS, accredited Biosystems Engineering, BS Agricultural Systems Technology) programs. We take pride in being an inclusive department in which students from any background can feel comfortable, supported and successful. For more information about the department visit our website at https://bae.okstate.edu/, and check us out on our socials: Facebook: @baeokstate, X: @BAEOkstate, and Instagram: @baeokstate.

To learn more about OSU Agriculture and Stillwater, visit these websites:

• https://agriculture.okstate.edu
• https://agresearch.okstate.edu
• https://extension.okstate.edu
• https://www.okstate.edu
• https://www.visitstillwater.org
• https://www.stillwaterchamber.org