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Field
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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and remote sensing data from both the Arctic and Antarctic sea ice regions. Based on this new understanding, the candidate will develop parameterizations that can emulate these physics for use in more
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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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our understanding of how cloud-microphysical processes in stratocumulus interact with radiation and turbulence. Working style and research environment: You will join the Geoscience & Remote Sensing
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early warning systems are essential to ensure future food security. Satellite remote sensing, and satellite-derived products provide continuous, global data on crop growth and status. However, these data
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. Lehigh University offers a vibrant and inclusive work environment that fosters professional growth, personal development, and a strong sense of community. With a commitment to diversity, equity, and
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leadership in agricultural discoveries through scientific excellence. Research Project: USDA-ARS in Manhattan, KS is developing affordable remote-sensing tools to rapidly detect insect activity and grain
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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of
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management; Combine remote sensing and AI-based modeling to address management needs in Mid-South production systems. The candidate will work closely with USDA-ARS personnel while also coordinating and
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful