Postdoctoral Research Associate In Scalable Algorithms

Postdoctoral Research Associate In Scalable Algorithms
Company:

(Confidential)


Postdoctoral Research Associate In Scalable Algorithms

Details of the offer

Requisition Id2586 Overview Oak Ridge National Laboratorys Computing and Computational Sciences Directorate conducts state:of:the:art research and development in computer and computational sciences in support of DOEs missions and programs. We develop and deploy leading edge computing and information technology capabilities to keep computational sciences at a level comparable to experimental sciences in the pursuit of scientific discovery and technical innovation.

The Computational Engineering and Energy Sciences Group is seeking computational scientists to aid in the design and development of large:scale parallel computer simulation environments for applied problems.

Major Duties/Responsibilities

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Collaboration within a multi:disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory's missions.
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Participating in the design and architecture of integrated, multi:scale, coupled:physics computer codes, design and implementation of scalable numerical methods, uncertainty quantification, collaboration with experts from various scientific disciplines on coupled:physics issues, and following team planning, documentation, verification and validation, and software quality processes.
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Application areas of particular interest include computational fluid dynamics (including low:speed, incompressible, free:surface flows, multi:phase and multi:component reacting flows, and high:speed, low:density flows), design and analysis of nuclear energy systems, advanced electrochemical storage systems (batteries), electronic
structure calculations (DFT), and microstructure evolution encountered in additive manufacturing (3D printing) including solidification and post:heat treatment, and other manufacturing processes including sintering, welding, etc.
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Author peer reviewed papers, technical papers, reports and proposals for internal and external release as well as represent the organization via technical presentations in workshops and conferences.

Basic Qualifications:

Ph.D. in physics, applied mathematics, or a relevant engineering field

Demonstrated expertise in one or more areas relevant to simulations of interest such as:

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computational fluid dynamics (CFD)
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coupled multi:scale physics methods
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adaptive mesh refinement (AMR)
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differencing schemes on unstructured and/or AMR meshes
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numerical linear and/or non:linear algebra including large scale eigenvalue problems and preconditioned Krylov methods
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high:order time integration
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processing:microstructure relationships for metallic alloys
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model reduction, stiffness reduction and uncertainty quantification techniques for coupling detailed chemical kinetic models with reacting flow software
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advanced verification, validation, and uncertainty quantification methodologies
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Demonstrated experience in the design and implementation of numerical algorithms in one or more high:level computing languages (e.g. C++, Fortran, Python).

Preferred Qualifications

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Experience working in a multi:disciplinary research environment that follows modern software quality standards (version control, unit testing, continuous integration, etc.)
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Experience in the development of large:scale physics simulation codes, including computational scaling and efficiency, for hybrid multi:petascale supercomputing systems
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Software design education or experience, including generic programming, object:oriented analysis, and scripting languages
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Understanding of verification and validation, the relationship between theory, experiments, and simulation, and visualization and interpretation of simulation data using domain knowledge
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Parallel algorithm and software development, including message:passing (MPI) and programming models (e.g. CUDA, OpenMP, Kokkos, OpenCL) for multicore and hetero


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Area:

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Requirements


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