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strategies. This leadership role will serve as the Group Leader for the Remote Sensing and Environmental Informatics (RESI) Group. The group’s mission is to build world-class capabilities in scientific data
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on remote sensing and image analysis. Under the guidance of research staff, the selected applicant(s) will take roles on multidisciplinary teams supporting cutting-edge research and engineering with large
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Qualifications: Advanced degree (MS or PhD) in Computer Science, Data Science, Geospatial Science (GIS/remote sensing), Electrical/Computer Engineering, or a closely related discipline. Minimum of 10–12 years
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Requisition Id 15824 Overview: As a Senior Grid Sensors R&D Engineer, you will lead the development, testing, and large-scale deployment of sensing technologies for future smart grids. High
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, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a multidisciplinary team of hydrologists, Earth system scientists, and computational
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datasets, geospatial and remote sensing tools (e.g., Google Earth Engine). Grid modeling and planning, either through development of bespoke capacity expansion and/or production cost models, or application
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. Experience working with large environmental datasets such as flux tower and remote sensing data. Skills in statistically based model evaluation using observational data. Evidence of leadership potential
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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scientists, remote sensing scientists, HPC engineers, Energy grid subject matter experts, and geographers to deliver research and development prototypes. Deliver ORNL’s mission by aligning behaviors
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computing framework. Preferred Qualifications: Experience working with spatio-temporal datasets and remote sensing imagery. Knowledge of distributed computing, quality control and assessment of satellite