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<p><span style="font-size:10.5pt;font-family:Helvetica;color:black">The U.S. Geological Survey invites applications to a Mendenhall research post-doctoral fellowship opportunity to apply machine learning techniques to earthquake forecasting. The goal of this
opportunity is to develop machine-learning approaches to improve earthquake forecasting capabilities – namely, to better predict the rate, locations, and sizes of future earthquakes.</span><span style="font-size:12.0pt;color:#212121"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Helvetica;color:#171717;background:white">The confluence of newly available, modern high-resolution seismic catalogs – composed of millions of earthquake locations, times, and sizes – along with recent advances in supervised
and unsupervised machine learning, particularly deep learning techniques, provide a unique opportunity to mine seismic catalogs for deeper levels of earthquake predictability than have previously been found. </span><span style="font-size:10.5pt;font-family:Helvetica;color:black">In
their proposal, applicants should describe methods and architectures amenable to extracting relevant features from catalogs of earthquake times and locations, and to generating stochastic representations of future activity. </span><span style="color:#212121"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Helvetica;color:black">This post-doctoral opportunity for recent graduates in computer science, geophysics, seismology, statistics, or related fields. The fellowship provides 2 years of salary and benefits, as well
as funding to support the proposed research project.</span><span class="apple-converted-space"><span style="font-size:10.5pt;font-family:Helvetica;color:black"> </span></span><span style="font-size:12.0pt;color:#212121"><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Helvetica;color:black">More information on the opportunity (Mendenhall #21-44) is here:</span><span class="apple-converted-space"><span style="font-size:10.5pt;font-family:Helvetica;color:black"> </span></span><span style="font-size:12.0pt;color:#212121"><a href="https://on.doi.gov/3Ru1Wz7" target="_blank"><span style="font-size:10.5pt;font-family:Helvetica;color:#0078D7">https://on.doi.gov/3Ru1Wz7</span></a><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Helvetica;color:black">Candidates are encouraged to contact the research advisors to discuss project ideas. Note that due to federal regulations, non-citizens can be hired for these fellowships only in rare circumstances.
Qualifications are here:</span><span class="apple-converted-space"><span style="font-size:10.5pt;font-family:Helvetica;color:black"> </span></span><span style="font-size:12.0pt;color:#212121"><a href="https://on.doi.gov/3edWmm5" target="_blank"><span style="font-size:10.5pt;font-family:Helvetica;color:#0078D7">https://on.doi.gov/3edWmm5</span></a><o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:Helvetica;color:black">Applications are due</span><span class="apple-converted-space"><span style="font-size:10.5pt;font-family:Helvetica;color:black"> </span></span><strong><span style="font-size:10.5pt;font-family:Helvetica;color:black">November
1, 2022</span></strong><span style="font-size:10.5pt;font-family:Helvetica;color:black">.<br>
Proposed Duty Station(s): Pasadena, California; Moffett Field, California; Seattle, Washington; Golden, Colorado.</span><span style="font-size:12.0pt;color:#212121"><o:p></o:p></span></p>
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