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characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matters. Major Duties/Responsibilities: Development of theoretical framework for driven and
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kinetic monte 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
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications
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). The postdoc will perform enhanced sampling molecular dynamics simulations using neural network potentials and deploy statistical mechanics (e.g., rare-event theory), Markov-state models for molecular
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collaboration with a multidisciplinary team of researchers in quantum computing and condensed matter physics theory and experiment. The ideal candidate will have a strong background in quantum
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be found here: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety
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density and critical temperatures based on these predictions. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation Section (TACS) at the Center for
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conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Deliver ORNL’s mission by aligning behaviors, priorities, and interactions
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and to participate creatively in collaborative teams across the laboratory Hands on experience in the mechanical testing of metallic materials and associated theory Experience with destructive
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theory, quantum many-body theory, thermodynamics, statistical mechanics, or non-equilibrium physics Preferred Qualifications: Rich experience with transport measurements and characterization Basic