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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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characterizations, and models that are suitable for nuclear fuel performance codes. Knowledge and experience of x-ray computed tomography, mechanical testing, and finite element modelling is desirable. Major Duties
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/Responsibilities: Participate in development of multiscale modeling framework for metal AM processes including various direct energy deposition (DED) and powder metallurgy based manufacturing. Participate in
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and simulation tools, such as spreadsheet-based process cost modeling, input/output modeling, or commercially available life cycle analysis tools such as SimaPro and openLCA. Excellent written and oral
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. Basic Qualifications: PhD in physics, applied physics, material science, chemistry, chemical or electrical engineering, or a related discipline completed within the last five years. A background in
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, analyzing data from complementary techniques such as scanning microwave impedance microscopy, Kelvin probe force microscopy, and cathodoluminescence, as well as collaborating with theorists for data-model
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Laboratory (ORNL) and Department of Energy (DOE) mission. Selection will be based on qualifications, relevant experience, skills, and education. This position resides in the Manufacturing Robotics and Controls
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
Directorate (NScD) at Oak Ridge National Laboratory (ORNL). NScD operates the High Flux Isotope Reactor (HFIR), the United States' highest flux reactor-based neutron source, and the Spallation Neutron Source
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seeking a postdoctoral researcher with expertise in distributed intelligence, reasoning models, LLMs, workflow management, and distributed systems to contribute to the development of advanced decentralized
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/Responsibilities: Collect and analyze data from past weather-related natural gas supply disruptions and study their impacts. Perform modeling and simulations to assess system performance under cold stress conditions