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Oak Ridge National Laboratory (ORNL)
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Job Location: Oak Ridge, TN
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Purpose:
The Computer Science and Mathematics Division is seeking an applied mathematician and computational scientist to aide in the development of scalable algorithms for uncertainty quantification (UQ). Important to this position is also the design and implementation of such methods on large-scale platforms with application to core areas of CEES, including, climate and ice-sheet modeling, nuclear fuel design and reactor physics, turbulence and combustion.
Major Duties/Responsibilities:
The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians, computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratorys missions. Specific responsibilities include participating in the development and design of multi-scale, multi-physics algorithms for several application areas, design and implementation of scalable numerical methods for UQ, collaboration with experts from various scientific disciplines on UQ and applications, and following team planning, goals and quality processes.Application areas of particular interest include computational fluid dynamics (including low-speed, incompressible, free-surface flows, multi-phase and multi-component flows, and high-speed, low-density flows), design and analysis of nuclear fuels and reactor simulations, advanced electrochemical storage systems (batteries).
Qualifications Required:
Qualifications Required: A Ph.D. in Applied Mathematics or Computational Science and minimum of 0-2 years of relevant experience is required. Candidates must have a proven record of research accomplishments in numerical and functional analysis, probability theory and partial differential equations. Expertise in more than one area of particular relevance to simulations of interest, such as Non-linear and linear discretization techniques for coupled multi-physics problems under uncertaintyPreferred Qualifications: Ph.D. in Applied Mathematics, Computational Science or a directly related field, and a minimum of 2-5 years of relevant experience is preferred. Experience working in a multi-disciplinary research environment. Experience in the development of large-scale numerical algorithms and simulation codes. Experience with C++, generic programming, object-oriented analysis, and scripting languages. Software design education or experience.
Oak Ridge National Laboratory (ORNL)
Equal Opportunity Employer
UT-Battelle is committed to achieving its strategic business objectives by attracting, retaining and developing a diverse workforce.
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