Do you like studying seafloor geodesy w/ artificialintelligence & machinelearning? Then we have a MendenhallPostDoc for you! We planning to explore applications of ML/AI algorithms to study seafloor tectonic deformation: Apply by 1/6/22! USGS_YES
characterization of tectonic deformation that occurs beneath the oceans. Seafloor geodesy is particularly important to the USGS’s mission in subduction zones, where the world’s largest faults exist mostly offshore, and that accommodate plate motions via slip not only seismically in earthquakes, but also aseismically in transient slow slip events . Evidence for these comes from a variety of seafloor deformation measurements.
Denoising, particularly discriminating ocean circulation-generated signals from much smaller tectonic deformation signals, commonly uses measured proxies for the circulation-generated signals, but which proxies may be most effective for this purpose? How can underlying physical, but indirect, nonlinear linkages between different circulation processes be identified to expand the number and efficacy of measurable...
Can ML/AI algorithms reveal causal connections between ocean circulation pressures and tectonic defor mation, noting that an increasing number of studies show that stress changes comparable to those caused by ocean circulation on the seafloor may trigger earthquakes, SSEs and probably other slip phenomena ?
Although proposals need not specify particular ML/AI algorithms, the Fellow would be expected to collaborate with Mentor Kutz and his team, who have pioneered many algorithms and workflows that are ideally suited to questions relevant to seafloor geodesy.
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