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Laboratory (ORNL). Major Duties/Responsibilities: Develop models and software for the design and optimization of sensor networks in complex systems, such as water treatment systems Develop physics-based and
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infrastructures using GPU accelerators. Experience building data-fusion workflows to ingest multi-modality geospatial data. Experience using Python or other programming languages to develop AI algorithms in PyTorch
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large quantities of data to gain a greater understanding of our systems and develop data analytics and artificial intelligence algorithms. You will be actively engaged in the research and development
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electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc. Develop simulation algorithms that enable large-scale simulations and/or AI/ML experience for intelligence in
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Research. We are seeking applications from researchers in the broad domain of computational and applied mathematics, including algorithm analysis, artificial intelligence, combinatorial scientific computing
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SNS. You will also work with other technical groups including data acquisition software, information systems, detector development, data reduction and data analysis software developers. You will have
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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developing or applying parallel algorithms and scalable workflows for HPC resources. Experience developing or applying privacy-enhancing technologies such as federated learning, differential privacy, and
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that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In this role, you will have the opportunity to lead and contribute
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and