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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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data science to develop new methodologies for assessing and improving the quality of components fabricated using advanced manufacturing processes. This position resides in the Manufacturing Systems
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. Compose technical reports, create presentations, and publish peer-reviewed papers Support the development of new resources, training, and tools to support companies participating in the DOE’s Better Plants
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program, which provides research support, professional development, and social activities. Major Duties/Responsibilities: Assume a leading role in one or more of the group’s contributions to the LEGEND
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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 spanning
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and
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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 for creating
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novel quantum sensing solutions to problems of national interest and support the research and development necessary for the practical implementation of those solutions Interpret, report, and present
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, including hardware, software, tools, and applications Apply your proficiency in developing sophisticated software systems, such as operating systems, compilers, adaptive runtime systems, or scalable
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. 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 open quantum systems