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<p><span>The Oden Institute for Computational Engineering and
Sciences and the Department of Mathematics at The University of
Texas at Austin have an opening for a tenured or tenure-track
faculty position beginning Fall 2025 in the area of Scientific
Machine Learning (SciML). We are seeking candidates working on
the mathematical and algorithmic foundations of SciML in a broad
sense. Particular areas of interest include, but are not limited
to, development and analysis of machine learning models for
scientific computing, theory and algorithms for sampling, large
graph models, techniques for high-dimensional problems, inverse
problems, and multiscale modeling and/or nonlinear dynamics. We
are also interested in the development and analysis of
large-scale nonconvex optimization methods used in machine
learning. The ideal candidate will bring mathematics and
computation together, and have a track record of engaging with
applications. For inquiries about the position, please contact
Gunnar Martinsson (</span><a href="mailto:pgm@oden.utexas.edu" title="mailto:pgm@oden.utexas.edu" class="moz-txt-link-freetext">pgm@oden.utexas.edu</a><span>)
or Ruth Park (</span><a href="mailto:ruth.park@oden.utexas.edu" title="mailto:ruth.park@oden.utexas.edu" class="moz-txt-link-freetext">ruth.park@oden.utexas.edu</a><span>).</span><br>
<br>
<span>For additional details, including instructions for how to
apply, please see:</span><br>
<br>
<a href="https://apply.interfolio.com/156047" title="https://apply.interfolio.com/156047">https://apply.interfolio.com/1<wbr>56047</a></p>
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Omar Ghattas<br>
Oden Institute for Computational Engineering & Sciences<br>
Walker Department of Mechanical Engineering<br>
The University of Texas at Austin<br>
<a class="moz-txt-link-abbreviated" href="mailto:omar@oden.utexas.edu">omar@oden.utexas.edu</a><br>
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