Wrapping up a PhD in remote sensing or machine learning? I’m currently helping recruit for USGS/NASA post-doctoral fellowship. It’s a full-time, two-year U.S. federal government fellowship at USGS’s Moffett Field campus): https://geography.wr.usgs.gov/InnovationCenter/fellowship.html
Orbital imaging opportunities are increasing in extent and frequency with the arrival of small satellite constellations and increasing numbers of earth observation satellites. These assets can capture meterscale changes in water body extent from floods, droughts, and human activities that are early indicators of ongoing human and environmental changes. Yet, we have low-situational awareness of many of these hydrologic changes because the amount of imagery greatly exceeds our ability to interpret it. Challenges include varying spectral characteristics of surface waters, vegetation and cloud cover interference, urban infrastructure interference, and incomplete science and knowledge relating remotely-sensed observations to surface water extent. Further challenges include the need to rapidly apply and verify machine learning algorithms on large streams of data to yield information that can be used by managers of water resources, disaster response, and natural and agricultural resources. The U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), and National Geospatial Intelligence Agency (NGA) are cooperating to develop expertise in remote sensing, hydrology, and computation that is needed for operational near-real-time detection and mapping of surface water changes.
Areas of Ph.D. Applicant: Applicants are preferred who have experience in remote sensing and the application of machine learning, computer vision or other AI tools to remote-sensing data. Experience working with digital elevation model (DEM) data and a working knowledge of fluvial geomorphology or hydraulic modeling concepts is favorable. Candidates holding a Ph.D. in other disciplines but with knowledge and skills relevant to the Research Opportunity may be considered.
Qualifications: Applicants must meet qualifications for one of these federal positions: Research Geographer, Research Engineer, Research Hydrologist, Research Geophysicist, Research Geologist, Research Physical Scientist, Research Environmental Engineer, Research Computer Scientist.
Please apply if you’re interested and qualified, and respond in this thread if you have questions.
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