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<div><span style="font-family: Calibri, Arial, Helvetica,
sans-serif; font-size: 12pt; color: rgb(0, 0, 0);
background-color: rgb(255, 255, 255);">Postdoc in Optimization
and Mathematics for Digital Twins
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<div>The Mathematics and Computer Science Division at Argonne
National Laboratory seeks candidates for a postdoctoral
position in numerical optimization. In this role you will
perform research in analysis and implementation of algorithms
for solving optimization problems that involve digital twins
to model complex systems. Applications include, but are not
limited to, data assimilation and control for self-assembly
systems and optimal experimental design and control for
autonomous devices.</div>
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<div>Research will be performed in close collaboration with
leading scientists in applied mathematics and computer
science. Researchers will have access to cutting-edge
extreme-scale computing facilities. Argonne provides a
collaborative, open-science environment where scientists from
various disciplines and backgrounds are engaged in solving
challenging fundamental and practical problems. We actively
promote diversity in backgrounds, experiences, and
perspectives.</div>
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<div>For more information on the applied mathematics, numerical
software, and statistics group at Argonne, see <a href="https://www.anl.gov/mcs/lans" title="Unmangled
Microsoft Safelink">www.anl.gov/mcs/lans</a></div>
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<div>Position Requirements</div>
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<div>- Recent or soon-to-completed PhD (typically within the
last 0-3 years) in applied mathematics, statistics, computer
science, industrial engineering or related field.</div>
<div>- Experience in nonlinear optimization, PDE-constrained
optimization, machine learning, or optimal control.</div>
<div>- Interest in contributing to numerical software
development.</div>
<div>- Experience with (or willingness to explore)
high-performance computing environments.</div>
<div>- Openness to adopt Argonne's core values of impact,
respect, integrity, safety and teamwork.</div>
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<div>Questions can be directed to Sven Leyffer (<a class="moz-txt-link-abbreviated" href="mailto:leyffer@anl.gov">leyffer@anl.gov</a>)</div>
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<div>Interested candidates should apply here: <a href="https://tinyurl.com/ykutnr94" title="Unmangled
Microsoft Safelink">tinyurl.com/ykutnr94</a> (or search at <a href="https://www.anl.gov/hr/postdoctoral-applicants)" title="Unmangled Microsoft Safelink">www.anl.gov/hr/postdoctoral-applicants)</a><br>
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<div>US citizenship or permanent residence status are NOT
required for this position.</div>
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<div>---<br>
Sven Leyffer<br>
Mathematics and Computer Science Division<br>
Argonne National Laboratory</div>
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