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Job Field: Government Jobs
Location: SALT LAKE CITY, UT
Job Type: Full Time

JOB SUMMARY:

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The Scientific Computing and Imaging (SCI) Institute at the University of Utah invites applications for one post-doctoral researcher for interdisciplinary work spanning applied mathematics, computer science and material sciences. The successful candidate will perform research in the application of uncertainty quantification (UQ) techniques to coarse-graining algorithms developed to accelerate molecular dynamics simulations and other particle-based methods, and will work closely with SCI Institute researchers and external collaborators to integrate research into SCI Institute software applications and apply this software to compelling problems in science and engineering. About Uintah (www.uintah.utah.edu). The Uintah Computational Framework was originally created by the Center for the Simulation of Accidental Fires and Explosions (C-SAFE, www.csafe.utah.edu). While the C-SAFE project recently ended, other projects are now using the Uintah software. Uintah is a scalable, highly parallel computational simulation system designed to simulate complex physical phenomena including reacting flows, material properties, multi-material interactions, and atomic level chemistry. Scaling to close to 100,000 processors, the Uintah software continues to be refined and updated. While developed primarily to run fire/container interaction simulations, Uintah has been straightforwardly applied to many other diverse applications, including simulations of blood vessel growth, foam micro-structure, human torso dynamics, industrial flares, vehicle armor plating, and oil drilling applications. About SCI The Scientific Computing and Imaging (SCI, www.sci.utah.edu) Institute is a world-class research institute at the University of Utah in Salt Lake City. We are a highly dynamic and motivated group of over 150 faculty, staff, and students. The overarching goal of the Institute's research is to create new techniques, tools, and systems to provide science-based solutions to problems affecting various aspects of human life. We believe that developing state-of-the-art computational solutions for such complex systems requires research in a number of areas within scientific computing including visualization, simulation, and modeling. The core strengths of the Institute include scientific visualization, biomedical imaging, problem solving environment (PSE) development, and general computational methods and techniques.

KEY REQUIREMENTS:

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