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Job Description The postdoctoral researcher will work at the Hydrologic Innovation and Remote Sensing and the Earth Observation Innovation Lab of the Geoscience Department, Virginia Tech
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guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Independently and collaboratively lead field
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North China University of Water Resources and Electric Power | China, Nuevo Leon | Mexico | about 13 hours ago
degree in a relevant discipline, including, but not limited to, hydrology and water resources, ecology, artificial intelligence, remote sensing, climate change, biogeochemistry, and physical geography. (2
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 17 days ago
and terrestrial ecosystems. Research Focus This NPP opportunity invites research proposals that utilize high-fidelity imaging spectroscopy data—integrated with active remote sensing, topographic models
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vertically. The project combines urban studies, remote sensing, 3D modelling, environmental science, architecture, political science and participatory approaches to investigate the environmental, social and
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monitoring, remote sensing, and hydrological simulations to provide precise assessments of vulnerability hotspots, soil degradation, and agricultural impacts. ● Your outputs will directly inform
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Transporter (Czuba, 2018), or developing new approaches where appropriate. This work will also involve integrating the sediment-routing framework with hydrologic models developed by project partners. Second
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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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National Aeronautics and Space Administration (NASA) | Huntsville, Alabama | United States | 17 days ago
to advance use of foundation models for Earth Science research and applications, including fine-tuning experiments Use of remote sensing, models, and/or machine learning to further our understanding
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: Tiltmeter and rotational sensor data near volcanic edifices. Distributed Acoustic Sensing (DAS) on buried and surface-deployed fiber. Regional seismic and infrasound networks. Hydrological and weather data