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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months ago
. Description: New techniques and instrumentation are developed and applied for remote atmospheric measurements. Current research includes cloud and aerosol studies using space-based lidars such as the Cloud
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Do you want to shape the future of digital nature monitoring? Do you have experience with LiDAR, AI, and ecology—and want to contribute to remote sensing research for biodiversity and ecosystems
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
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use their skill for the benefit of society in the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral
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, optical and lidar sensors together with auxiliary data to generate AI-ready datasets. Prepare large training data sets from other satellite remote sensing instruments and auxiliary data Present results
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a multi-metal lidar and doing regular quantum remote sensing of atoms in the MLT. The new, flexible dye laser systems require hands-on work in optics (spectroscopy, laser physics) and software
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, Remote Sensing and Biogeography Lab and Robotic Discovery Lab. Candidates must have a Ph.D. in acoustics, or oceanography with demonstrated strengths in large data analysis, multivariate statistics
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 41 minutes ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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remote sensing using active sensors. The successful candidate must have a record of publication that demonstrates a process-level understanding of the forces that shape marine cloud microphysics
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, and advanced hydrologic modeling to projects in flood forecasting, remote sensing data assimilation, hydraulic modeling, environmental flows, and decision-support systems. The role involves developing