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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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<td>[SIAM-OPT] Postdoctoral Scholar Position in Optimization
for Deep Learning at Berkeley Lab</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 22 Sep 2020 15:09:52 -0700</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Juliane Mueller <a class="moz-txt-link-rfc2396E" href="mailto:julianemueller@lbl.gov"><julianemueller@lbl.gov></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td>Pekka Orponen <a class="moz-txt-link-rfc2396E" href="mailto:pekka.orponen@aalto.fi"><pekka.orponen@aalto.fi></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">CC: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:SIAM-UQ@siam.org">SIAM-UQ@siam.org</a>, <a class="moz-txt-link-abbreviated" href="mailto:SIAM-OPT@siam.org">SIAM-OPT@siam.org</a></td>
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<div dir="ltr">Berkeley Lab’s Center for Computational
Sciences and Engineering (CCSE) in the <a
href="https://crd.lbl.gov" moz-do-not-send="true">Computational
Research Division</a> has an opening for a Postdoctoral
Scholar in Optimization for Deep Learning. Researchers in
CCSE develop and apply advanced computational methodologies
to solve large-scale scientific and engineering problems
arising in Department of Energy mission areas involving
energy, environment, and industrial technology. This
position will actively contribute to CCSE’s optimization
research and algorithm development.<br>
<br>
This is a research position in applied mathematics and
computational science. The successful candidate will develop
new efficient algorithms for the automated optimization of
Deep Learning (DL) model architectures and the uncertainty
quantification of the associated DL model’s predictions. The
postdoc will implement, benchmark, analyze, and apply the
developments to science problems relevant to Berkeley Lab
and the Department of Energy, for example predicting the
traffic of the Energy Sciences network (ESnet). <br>
<br>
For more information about the opening, visit <a
href="https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=91104"
target="_blank" moz-do-not-send="true"><font face="arial,
sans-serif"><span style="text-decoration-line:underline">https://lbl.taleo.net/careerse</span>ction/2/jobdetail.ftl?lang=en&job=91104</font></a> and
reach out to <a href="mailto:JulianeMueller@lbl.gov"
moz-do-not-send="true">JulianeMueller@lbl.gov</a> with any
questions you may have.<br>
<br>
<i>We value and strive for diversity in backgrounds,
experiences, and perspectives. </i></div>
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<div>Juliane<br>
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