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ORNL’s research mission. The success of every research project at ORNL depends on the Utilities Division’s ability to provide uninterrupted utility services. These utilities include electrical distribution
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Requisition Id 16411 Overview: The Analytics and AI Methods at Scale (AAIMS) group in the National Center for Computational Science (NCCS) is hiring a Research Scientist to advance the frontier
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we treat one another, work together, and measure success. Basic Qualifications: BS in information technology, computer science, engineering or a related field, with 5 years of experience in a data
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Sciences Informatics portfolio. You will help develop modular and scalable software tools and infrastructure for data processing and data center operations in the Earth, climate, and environmental sciences
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, independent judgment. task leading, and document development. Work may include power distribution systems, electrical design services for beamline instruments and conventional facilities, and experimental
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) Familiarity with high-performance computing (HPC) and distributed training environments Hands-on benchmarking/Test & Evaluation of AI systems Interest in AI applications for safety, risk modeling, or scientific
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for sponsors across the Federal Government. We're looking for staff who bring fresh ideas from areas including information retrieval, distributed computing and storage, and data processing workflows. We need our
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working with spatio-temporal datasets and remote sensing imagery Knowledge of distributed computing and uncertainty quantification Ability to function well in a fast-paced research environment, set
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submittals) and act as the design authority for assigned systems. Work with Operations and Maintenance staff to ensure reliable operations of all Target Systems. Support the Reliability Program by providing
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scalable processing pipelines for large raster/vector datasets using distributed compute and spatial analytics tooling (e.g., Spark/Dask/Flink, Sedona/BigQuery GIS, etc.) Work with cloud-native geospatial