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<p>Argonne National Laboratory seeks two postdoctoral appointees to
conduct <br>
research in data analysis for large-scale Gamma-ray spectrometers.
The <br>
successful candidates will be hired in the Low-Energy Nuclear
Physics <br>
Research Group of the Physics Division and will work closely with
<br>
scientists in the Mathematics and Computer Science Division. The
goal of <br>
this multi-disciplinary project is to attack two open and
connected <br>
problems in the utilization of large gamma-ray arrays, namely (1)
to <br>
make significant improvements in Gamma-ray tracking as it applies
to <br>
GRETINA/GRETA, and (2) to develop a new framework for the
construction <br>
of nuclear level schemes which are the major end products of these
<br>
world-class spectrometers. We aim to leverage advances in <br>
machine-learning, high-performance computing, and physics insight
to <br>
achieve this goal.<br>
<br>
Candidates considered for the position must have: Recently
received or <br>
near completion of their Ph.D. in physics, applied mathematics,
computer <br>
science,?? or related discipline within the last 3 years. <br>
Graduate/postgraduate research in machine learning, and
programming <br>
experience (Python, PyTorch, C/C++, or Fortran). In addition,
experience <br>
in one or more of the following: design of nuclear physics
experiments <br>
and physics interpretations, data analysis, and mathematical
optimization.<br>
</p>
<p>US citizenship is not required.<br>
<br>
For more information and to submit your application, see <br>
<a href="https://argonne.wd1.myworkdayjobs.com/en-US/Argonne_Careers/job/Argonne-National-Laboratory/Postdoctoral-Appointee_411994" title="Unmangled Microsoft Safelink">argonne.wd1.myworkdayjobs.com/en-US/Argonne_Careers/job/...</a></p>
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