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discipline. Demonstrated hands-on experience and understanding of developing and applying HPC algorithms to sparse numerical, scientific and ML models. Demonstrated research experience with AI and ML
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scientific computing. Experience running large-scale excited-state simulations on HPC platforms. Excellent record of productive and creative research as demonstrated by publications in peer-reviewed journals
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of the field through the development and use of machine learning, deep learning, and high-performance computing (HPC). This position resides in the Chemical Separations Group in the Separations and Polymer
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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machine learning algorithms on HPC architectures Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree