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of emerging architectures and performance for advanced computing. This position resides in the Architectures and Performance Group in the Advanced Computer Systems Research (ACSR) / Computer Science Mathematics
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. Experience with modelling and simulation of complex, interdisciplinary systems Knowledge of computer architecture, computer networking, and experience with the development of virtualization technologies and/or
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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Requisition Id 16232 Overview: The Grid Systems Architecture (GSA) Group at Oak Ridge National Laboratory (ORNL) is actively seeking applicants for a temporary full-time Power Electronics Research
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owners to ensure secure architecture, effective monitoring, and continuous improvement of OT cybersecurity posture. This position resides in the Cyber Enhancements Group within the Cybersecurity Division
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that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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AI/ML, with a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex
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that span data acquisition, modeling, and decision-making, including deployment at the edge and across distributed systems. You will have access to extensive experimental and computational resources and will
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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix