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DTSTART;TZID=America/Denver:20231115T100000
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UID:submissions.supercomputing.org_SC23_sess503_job166@linklings.com
SUMMARY:Computational Research Scientist
DESCRIPTION:Computational Research Scientist - 100002\nDivision: AM-Applie
 d Mathematics and Computational Research\n\nThe Scalable Solvers Group (SS
 G) in the Applied Mathematics and Computational Research Division (AMCRD) 
 at the Lawrence Berkeley National Laboratory (LBNL) is seeking a Career-Tr
 ack Research Scientist in the area of mathematical analysis and numerical 
 methods for solving linear and nonlinear differential and integral-differe
 ntial equations with applications to quantum many-body dynamics. The SSG i
 n AMCRD at LBNL focuses mainly on developing scalable numerical algorithms
  and high-performance implementations to enable scientific discovery throu
 gh advanced computing. \n\nIn this exciting role, you will participate in 
 research activities related to the development of new algorithms and high-
 performance implementations of these algorithms for solving nonlinear diff
 erential and integral-differential equations. In addition, you will partic
 ipate in a multidisciplinary team involving mathematicians, computer scien
 tists, and domain scientists for developing fast simulation tools to tackl
 e challenging DOE science problems. Options to develop one’s own independe
 nt line of research will be especially encouraged.\n\nWhat You Will Do:\n•
  Develop efficient and high order algorithms for solving differential equa
 tions (e.g., the Dirac equation) and integral-differential equations (e.g.
  the Kadanoff-Baym equation.)\n• Perform mathematical analysis of new appr
 oximation schemes and establish practical error bounds.\n• Develop reduced
  order models to approximate long-time dynamics of quantum many-body syste
 ms.\n• Use machine learning techniques to improve the performance of tradi
 tional numerical algorithms.\n• Optimize the performance of differential a
 nd integral-differential equation solvers on DOE leadership high- performa
 nce computers (such as the NERSC Perlmutter system).\n\nAdditional Respons
 ibilities as needed:\n• Develop efficient algorithms for data reduction an
 d analytics.\n• Analyze the algorithmic complexity and parallel scalabilit
 y of new computational approaches.\n• Interact with physical scientists to
  deploy algorithms in application software.\n\n
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