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        <p style="margin:0in;vertical-align:baseline"><span><span style="font-family:"Arial",sans-serif;color:#222222">The
              Laboratory for Applied mathematics, Numerical software,
              and Statistics (LANS) and the Mathematics and Computer
              Science (MCS) Division at Argonne National Laboratory
              invite applicants for a postdoctoral position </span></span><span><span style="font-family:"Arial",sans-serif;color:#222222">in the
              area of</span></span><span><span style="font-family:"Arial",sans-serif;color:#222222">
              numerical optimization. You will investigate and develop
              new algorithms for solving dynamic optimization problems
              with applications to sequential design of experiments,
              motivated by problems arising from various imaging
              techniques. </span></span><span><span style="font-family:"Arial",sans-serif;color:#222222"> </span></span><span style="font-family:"Arial",sans-serif;color:#222222"><br>
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        <p style="margin:0in;vertical-align:baseline;-webkit-user-select: text;-webkit-user-drag: none;overflow-wrap: break-word;-webkit-nbsp-mode: normal !important;white-space:pre-wrap"> <span><span style="font-family:"Arial",sans-serif;color:#222222">Candidates interested in advancing developments in numerical optimization (especially dynamic optimization), active learning, and design of experiments for challenging large-scale data analysis, with interesting and real applications, will find a stimulating environment at the laboratory. Candidates should have been or soon will be awarded a doctoral degree in applied mathematics, statistics, computer science, machine learning or related areas. Knowledge is desired in one or more of mathematical optimization, inverse problems, scientific computing, and/or machine learning. </span></span><span><span style="font-family:"Arial",sans-serif;color:#222222"> </span></span><span style="font-family:"Arial",sans-serif;color:#222222">
</span><span style="font-size:9.0pt;font-family:"Segoe UI",sans-serif"></span></p>
        <p><span><span style="font-family:"Arial",sans-serif;color:#222222">Interested
              applicants should apply directly at <a href="https://argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/Lemont-IL-USA/Postdoctoral-Associate-in-Numerical-Optimization-for-Design-of-Experiments_416874" title="Unmangled Microsoft Safelink">argonne.wd1.myworkdayjobs.com/Argonne_Careers/job/...</a></span></span><span style="font-family:"Arial",sans-serif"><br>
            <br>
            <span>Questions concerning the position can be addressed to
              Matt Menickelly (<a href="mailto:mmenickelly@anl.gov" title="mailto:mmenickelly@anl.gov" class="moz-txt-link-freetext">mmenickelly@anl.gov</a>)
              and questions concerning the application process can be
              addressed to Melissa Velazquez </span><span><span style="color:#222222"> (<a href="mailto:mvelazquez@anl.gov" title="mailto:mvelazquez@anl.gov" class="moz-txt-link-freetext">mvelazquez@anl.gov</a>).
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          <div><span style="">Matt Menickelly</span><br>
            <span style="">Computational Mathematician, Argonne National
              Laboratory</span><br>
            <span style="">Pronouns: They/Them/Theirs > He/Him/His </span><br>
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