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<p><span>Do you want to spend two years to investigate the frontiers
of AI while enjoying the fantastic weather and ocean view in
Santa Barbara, California? </span><span><br>
</span><span><br>
</span><span>My group has two postdoc openings in the following
fields:</span><span><br>
</span><span>1. Numerical optimization for efficient training of
large language models and edge AI. We prefer candidates with
strong theoretical and numerical background (as shown by
publications in SIAM journals or top-tier machine learning
conferences). Candidates focused on only applying existing
optimization algorithms to engineering problems is out of the
scope. Experience in HPC and distributed training is a plus but
not required.</span><span class="white-space-pre"> </span><span><br>
</span><span>2. Scientific machine learning (e.g.,
physics-informed machine learning and data-efficient uncertainty
quantification) for 3D integrated circuits and chiplet design.
We prefer candidates with strong background in numerical
modeling and simulation (as shown by publications in SIAM, JCP,
or top-tier EDA or computational EM journals/conferences).</span><span><br>
</span><span><br>
</span><span>Please note that UCSB can only accept applicants who
finished their PhD degrees within the recent 5 years for postdoc
positions.</span><span><br>
</span><span><br>
</span><span>Positions are avaialble immediately until being
filled. If you are interested, please send me your CV,
representative publications, and the contact information of 2
referees by email (</span><a href="mailto:zhengzhang@ece.ucsb.edu" title="mailto:zhengzhang@ece.ucsb.edu" class="moz-txt-link-freetext">zhengzhang@ece.ucsb.edu</a><span>).</span></p>
<div class="media" style="overflow: hidden"><img src="https://higherlogicdownload.s3.amazonaws.com/SIAM/UploadedImages/rJ9UcCDQRAWzG4plgryf_1729844433294-L.jpeg" width="300" alt=""></div>
<br>
<br>
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Zheng Zhang<br>
University of California, Santa Barbara<br>
Santa Barbara CA<br>
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