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Requisition Id 16127 Overview: We are seeking a Postdoctoral Research Associate who will develop and apply electronic structure theory approaches to examine the fundamental properties of a range
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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
-approaches that allow integration of different theory, simulation, and experimental protocols. The research is designed to provide opportunities for development of your experience and scientific vision
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quality improvement, habitat restoration, and ecosystem service recovery. The group integrates ecological theory with field-based experimentation and monitoring to evaluate management actions and
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microscopy research and collaborate closely with scientists across ORNL in materials synthesis, device fabrication, theory, and complementary characterization. Major Duties/Responsibilities: Conduct materials
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temperature environments. You will collaborate closely with an interdisciplinary team with expertise in quantum sensing, quantum optics, materials synthesis and processing, and condensed matter theory. This position resides
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field. Graduate coursework or equivalent experience in stochastic processes, signal processing, and communications theory Understanding of RF concepts (e.g., antennas, link budgets, noise figure) Software
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on defined domains; Fast and scalable algorithms to fit the proposed models to data, with a theory that explains the convergence and success of these techniques; Detailed re-analysis of the performance
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science discovery, the research will pursue development of data pipelines using automated workflows, creation of multi-modal databases and novel ML-approaches that allow integration of different theory