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service offerings (e.g., large-scale geospatial compute pipelines, data ingest/curation/archive, analytics/visualization, user support). Establish operating policies, SLAs, user workflows, resource
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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version control, CI/CD, testing frameworks, configuration management, and scalable computing architectures. Familiarity with high-performance computing (HPC), data management workflows, or large-scale data
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224 enrolled students at UTK in 2025—the Genome Science and Technology, Energy Science and Engineering, and Data Science and Engineering programs. Reporting to the ORNL Laboratory Director, the UT-ORII
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, technical papers, reports and proposals for internal and external release as well as represent the organization by giving technical presentations in large public forums. Basic Qualifications: A PhD degree in
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that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning
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computing, clusters, artificial intelligence, quantum, and other advanced computing resources. Compile and debug large science and engineering applications. Identify and resolve system-level bugs in
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A BS in computer science, data science, artificial intelligence, business analytics management
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management and data intelligence, with a focus on researching and developing advanced data-management technologies, metadata informatics, and scalable solutions to support large-scale environmental data