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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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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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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
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. Experience with scalable computational chemistry and/or materials simulation software (LAMMPS) from classical MM to coarse-graining on HPC platforms and machine learning (ML) capabilities is desired
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professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division
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Experience in the design and implementation of scalable numerical algorithms on HPC architectures Experience developing mathematical tools for engineering or science applications Special Requirements
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in HPC environment. Programming experience in Fortran, Python or R Experience in manipulating and analyzing Earth Observation data Strong communication skills Preferred Qualifications: Experience with