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Until Filled No Desired Start Date 10/20/2025 Job Summary Candidate will work on DFT and atomistic simulation study of device materials and energy materials with machine learning potential development
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materials; superconductivity; collective excitations (e.g., excitons, magnons, skyrmions); integer and fractional quantum (anomalous) Hall effects; machine learning approaches for quantum many-body problems
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of personal computer, internet, and other standard equipment may be required. Remote work arrangements are subject to regular review and re-approval and may be canceled at any time. Travel: This position may be
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applications for recording, analyzing, and reporting findings Strong organizational and documentation skills Ability to build and maintain effective working relationships with faculty, staff, and students
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation