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Qualifications: Experience in surface hydrologic, hydraulic, and reservoir management modeling Experience in using remote sensing data, statistics, spatial analysis, visualization and data management Experience
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measure success. Basic Qualifications: Requires a PhD in geography, data science, computer science, or a related field. Experience in manipulating large scale physical geospatial data including
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Qualifications: A PhD in electrical and computer engineering, remote sensing, geomatics, geoscience, or a related field completed within the last 5 years Experience in developing AI/ML methods for analyzing large
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technologies Field, laboratory, or numerical testing of hydraulic structures Geospatial and remote sensing data analysis (e.g., GIS, Google Earth Engine) Machine Learning applications in hydrology/water
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, machine learning scientists, remote sensing scientists, HPC engineers, earth and planetary scientists, and geographers to deliver research and development prototypes. Deliver ORNL’s mission by aligning