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in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related discipline. Familiarity with quantum computing and/or digital quantum simulation theory and practice. Familiarity
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quantum simulations of materials or chemical physics methods, in particular ab initio and AI-driven simulation methods Experience in statistical mechanical theory to analyze the simulation results Basic
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. Experience with quantum algorithms (other than variational or adiabatic) and/or quantum hardware Knowledge of topological quantum field theories, topological band theory. Strong analytic mathematical skills
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related field completed within the last 5 years Good track record in scattering theory, quantum many-body theory, thermodynamics, statistical mechanics, or non-equilibrium physics. Experience in
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in condensed matter physics, or a closely related field completed within the last 5 years Extensive experience in neutron and/or X-ray scattering Experience in scattering theory, quantum many-body
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of Quantum Monte Carlo (QMCPACK, PYQMC) density functional theory (e.g. QE, VASP, PYSCF) and associated models to describe various properties of DOE-relevant quantum materials. The Materials Theory Group has a
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of performing leading-edge computational science research and development with a focus on the development of software for calculations in lattice quantum chromodynamics (Lattice QCD). Areas of specific interest
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. Experience with developing machine-learning surrogates for structure-property relationship, generative AI models, material representations, machine learning force-fields (especially extensions to spinful
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quantum and/or microelectronic materials, enabling Labs-of-the-Future (LoTF) for breakthrough science. The position resides in the Nanomaterials Theory Institute (NTI) within the Theory and Computation