80 dynamical-systems-ergodic-postdoc Postdoctoral positions at Oak Ridge National Laboratory
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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(ORNL) is seeking a highly motivated Postdoctoral Researcher with expertise in artificial intelligence and machine learning (AI/ML), remote sensing, Earth and environmental sciences, and the analysis
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, Applied Physics, or a related field Gas dynamics, pressure drop, and flow through complex systems Experience with mass transfer, diffusion, convection, and coupled heat/mass transport Process flow analysis
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: Develop physics-based, data-driven, and hybrid (physics-informed ML) models of thermal systems to capture dynamic thermal behavior Validate models against experimental data and refine model accuracy and
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Requisition Id 16647 Overview: We are seeking a postdoctoral research associate who will focus on the physics of nonequilibrium dynamics in many-body systems. This position resides in the Quantum
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or precipitation-strengthened systems. Familiarity with diffraction and data analysis tools (e.g., GSAS, GSAS-II, VDRIVE). Experience in alloy fabrication and processing (e.g., arc melting, thermomechanical
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, optical spectroscopy, and scanning probe microscopy. Advance capabilities for specialized scanning probe microscopy methods Work as part of a dynamic team conducting research that advances and develops
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for characterization and analysis of membranes and composites including X-ray/neutron powder diffraction, electron microscopy and lithium analysis using ICP, NMR, etc. Collaborate with ORNL postdocs and staff who
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Requisition Id 16798 Overview: The Data and AI Systems Research Section/Workflow systems Group within the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL) is
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or synchrotron diffraction techniques. Background in advanced structural alloys, including high-entropy alloys or precipitation-strengthened systems. Familiarity with diffraction and data analysis tools (e.g