Postdoctoral Research Associate in Agrohydrology, Water Resources Management, Remote Sensing, and Machine Learning at South Dakota State University South Dakota State University in United States

South Dakota State University (Department of Agricultural and Biosystems Engineering) is recruiting a Postdoctoral Research Associate to work at the intersection of agrohydrology, water resources management, remote sensing, data fusion, and machine learning for environmental systems.

The project focuses on dryland ecosystems and aims to integrate hydrologic and crop models such as SWAT, APEX, AGES, EPIC, and related tools with geospatial and data-driven approaches to improve estimates of soil moisture, evapotranspiration, and crop productivity.

Applicants should have a Ph.D. in a closely related field such as Agricultural Engineering, Agrohydrology, Ecohydrology, Agrometeorology, Soil and Water Sciences, Crop Sciences, Statistics, or Machine Learning. Strong experience with hydrologic modeling, geospatial tools (ArcGIS, ERDAS, QGIS), statistics, machine learning, data visualization, and technical writing is expected. Preferred experience includes precision agriculture, LiDAR, UAV/drone systems, Arduino-based sensing, extension/outreach, and FAA Remote Pilot Certification.

The position is based in Brookings, South Dakota at the SDSU campus. It offers a competitive salary, an initial one-year appointment renewable based on performance, and opportunities to publish in high-impact journals, collaborate with USDA and state agencies, mentor students, and contribute to proposal development and outreach. No visa sponsorship is available.

Applications are open until filled, with a preferred start date of 2026-08-17. Interested candidates must complete the required application form via the provided Google Form link.