[Job-offers-cs] Postdoctoral Appointee - Data-drive Optimization at Argonne National Laboratory

[Pekka Orponen]

The Mathematics and Computer Science (MCS) division at Argonne National 
Laboratory seeks a Postdoctoral Appointee in numerical optimization and 
machine learning to perform research in developing theories, algorithms, 
and software libraries for distributed optimization and learning 
algorithms. The successful candidate will work as part of a 
multidisciplinary research team involving computer 
and computational scientists, mathematicians, and electrical engineers 
for data-driven decision-making systems and analysis in various 
applications. The position will address algorithm/software development 
and/or theory in areas of interest to the applied mathematics and 
numerical software group.

The MCS Division at Argonne National Laboratory is a leader in the 
domain of computer science, applied mathematics, numerical software, and 
applications of interest to the U.S. Department of Energy and various 
other agencies.  Appointees will participate in a collegial and 
stimulating environment, including access to multidisciplinary 
collaborations, world-class software toolkits and some of the 
world's largest supercomputers including US's first exascale 
supercomputer, "Aurora".

*Position Requirements*

  * PhD, completed or soon-to-be-completed (typically completed within
    the last three years)
  * Candidates should have expertise in one or more of the following
    areas: numerical optimization, large-scale optimization, machine
    learning, and parallel and distributed computing algorithms.
  * Considerable knowledge is also required in one or more of the
    following areas: modeling, algorithms, and software development in
    numerical optimization.
  * Good proficiency levels in scientific programming languages (e.g.,
    C, C++, Julia, Python) are also required.
  * Experience with Julia, Python, parallel computing, large-scale
    computational science, machine learning, energy systems is a plus.

APPLY: bit.ly/3tZA1wP <https://bit.ly/3tZA1wP>

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Kibaek Kim
Argonne National Laboratory
Lemont IL

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