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experience with remote sensing data, specifically LiDAR (e.g., GEDI), Synthetic Aperture Radar (SAR), and multispectral optical time-series. Experience exploring machine learning and deep learning
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astrobiology. Description: New techniques and instrumentation are developed and applied for remote atmospheric measurements. Current research includes cloud and aerosol studies using space-based
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? Please email [email protected] Qualifications Desired Qualifications We seek a motivated researcher with a PhD in remote sensing, ecology, agronomy, geography or other relevant field. Proficiency in Python
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ingest heterogeneous remote sensing and in-situ observations, and transform them into structured, model-ready representations. Through embedding-based retrieval and semantic geophysical indexing, the AI
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future NASA missions, research projects, and field campaigns. Successful candidates will demonstrate a background in a related area, including meteorology, hydrometeorology, remote sensing, surface and