33 advance-soil-structure-modeling Postdoctoral positions at Oak Ridge National Laboratory
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supports the research on energy security and resilience of the power grid at the Energy Department (DOE) through advancement of modeling, simulation, and real-time monitoring of the power grid, including
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties
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sensor research and development for energy applications, with a focus on advanced manufacturing technologies. The MSA group consists of staff members with backgrounds in mechanical engineering, materials
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Requisition Id 14808 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development of modeling framework and support process development for advanced
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electronic structure theory (e.g., density functional theory), and machine learning based computational studies of molecular and periodic systems. The postdoc will also work within a multidisciplinary multi
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Requisition Id 15242 Overview: We are seeking a Postdoctoral Research Associate to help advance our understanding of quantum materials through experimental studies of bulk single crystals
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opportunity to pursue an ambitious research agenda that will drastically advance the state-of-the-art in sparse computations both as a unified topic and within three broad pillars: sparse and structured matrix
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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research analysis on geothermal well development and other advanced energy technologies that could achieve transformative gains in energy efficiency. Ability to develop optimization and life cycle models