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<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">My
group at UCSB (University of California, Santa Barbara) has a
few multiple-year postdoc positions related to sustainable AI
[e.g., energy-efficient training of large language models (LLMs)
and for edge AI]. We are looking for candidates with one or any
combination of the following backgrounds:</span></p>
<p><b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">1.
Theory and numerical methods of optimization</span></b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">,
such as non-convex stochastic optimization, manifold
optimization, derivative-free optimization. <b>Note:</b>
candidates who only focus on applying optimization to solve
engineering problems may NOT fit the position. Instead, we are
looking for candidates who can perform rigorous
theoretical/numerical analysis and develop novel algorithms for
various optimization problems arising from large language models
or from edge AI.</span></p>
<p><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF"></span><b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">2.
High-performance computing</span></b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">,
such as parallel/distributed algorithms and performance
optimization on massive GPUs for large-scale machine learning or
scientific computing;</span></p>
<p><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF"></span><b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">3.
Sparse and/or low-rank optimization</span></b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">
in high-dimensional statistics or large-scale machine learning.
Prior experience in low-rank tensor computation is a plus, but
not required. </span></p>
<p><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF"></span><b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">4.
Scientific machine learning</span></b><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">,
such as theory, models and/or optimization solvers for
physics-informed neural networks and/or operator learning. Prior
background in semiconductors is a plus but not required. </span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">The
appointments will start in the summer or fall of 2024. The
postdocs will work with other group members and leading
industrial collaborators (Meta, Amazon, Intel, HP Research Lab)
to solve high-impact real AI problems. We currently have access
to hundreds of Nvidia A100 GPUs.</span><span style="font-family: "Arial", sans-serif; color: #222222"><br>
<br>
<span style="background: #FFFFFF">The annual postdoc salary at
UCSB starts at $64,480, depending on the candidate's
experience. Benefit and medical insurance will be provided.
The initial appointment is for two years, and the contract is
renewable dependent on project progress and the funding
situations. </span></span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222"><span style="background: #FFFFFF">H1B visa sponsorship is possible
for exceptional postdocs. </span><br>
<br>
<span style="background: #FFFFFF">Interested candidates please
send me your CV and the contact information of 2 referees by
email (</span></span><a href="mailto:zhengzhang@ece.ucsb.edu" title="mailto:zhengzhang@ece.ucsb.edu"><span style="font-family: "Arial", sans-serif; color: #1155CC; background: #FFFFFF">zhengzhang@ece.ucsb.edu</span></a><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">).</span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF"></span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">Best
regards,</span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">Zheng
Zhang, </span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">Associate
Professor of Electrical and Computer Engineering</span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">Joint
Associate Professor of Computer Science and of Mathematics</span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">University
of California at Santa Barbara</span></p>
<p class="MsoNormal"><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF">Website:
</span><a href="https://web.ece.ucsb.edu/~zhengzhang/" title="Unmangled Microsoft Safelink"><span style="font-family: "Arial", sans-serif; background: #FFFFFF">https://web.ece.ucsb.edu/~zhengzhang/</span></a><span style="font-family: "Arial", sans-serif; color: #222222; background: #FFFFFF"></span></p>
<br>
<br>
------------------------------<br>
Zheng Zhang<br>
University of California, Santa Barbara<br>
Santa Barbara CA<br>
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