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Postdoctoral Research Associate who will focus on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data
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Description Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted visual representation and
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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algorithms and analytics for materials and related physical sciences for a broad range of energy, transportation, and advanced manufacturing applications. The MsM group also develops artificial intelligence
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and resilience across heterogeneous computational resources while addressing workflow requirements for scientific applications. Validate distributed intelligence algorithms at scale on ORNL's
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workflows that support reuse, reproducibility, and long-term value of research data for downstream analytics, modeling, algorithm development, and emerging data-driven methods. Contribute to R&D and mission
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a related field with 7+ years of experience or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: Experience with mesh generation/CFD applications
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a related field with 7+ years of experience or a PhD in mathematics, computer science, engineering with relevant experience. Preferred Qualifications: Experience with mesh generation/CFD applications
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uncertainty quantification. The position comes with a travel allowance and access to advanced computing resources. The MMD group is responsible for the design and development of numerical algorithms and
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uniting national laboratories, academic institutions and industry partners, the QSC is endeavoring to advance American innovation and global leadership by enhancing the computational robustness, algorithmic