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quantum magnetism and strongly correlated systems, as well as classical methods such as exact diagonalization, tensor networks or DMRG, and quantum Monte Carlo. Familiarity with inelastic neutron scattering
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through dashboards and automation. You’ll collaborate closely with IT operations, network, and facilities to ensure reliable service, efficient capacity usage, and compliance with ORNL and industry
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Technology Computational Group facilitates ORNL goals through HPC systems engineering, integration, and support for the research community at ORNL. By providing design, deployment, optimization, monitoring
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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models, and hybrid deployments spanning on-premises HPC resources, controlled networks, and approved cloud services—ensuring these systems meet ORNL’s requirements for scale, security, reliability, and
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frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
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-performance computing classified ecosystem. Major Duties and Responsibilities: Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system
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and development projects related to the implementation of residential weatherization programs. The IBDA Group works to optimize the energy performance of residential buildings and residential
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of major IT initiatives. • Work with staff and customers to develop and/or review solutions. • Troubleshoot and debug various Kubernetes workloads, CI/CD pipelines, and implement solutions to optimize
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systems to meet performance, reliability, and security requirements for research and/or classified computing environments. Define and maintain reference architectures for compute, network, storage, and