307 linked-data-"https:"-"https:"-"https:" positions at Oak Ridge National Laboratory
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for Computational Sciences (NCCS). The group creates and deploys workflow, data, and AI-agent technologies that connect leadership-class computing with experimental and observational science. Its primary goal is to
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comprehensive range of office and administrative functions to support Lab-wide needs, including but not limited to: Oversee the management of incoming and outgoing information, ensuring timely and efficient
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, a next-generation geospatial data & computing platform and data center, supporting the lab’s geospatial science research portfolio with high-performance computing (HPC) capabilities. ORNL is the
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. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from the SPRUCE (Spruce and
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provide analytical, technical, and development support for key business systems, focusing on ERP configuration and implementation, data integrations, reporting tools, and application development frameworks
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. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from the SPRUCE (Spruce and
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Requisition Id 17035 Overview: The Integrated Operations Support Division (IOSD) at Oak Ridge National Laboratory (ORNL) seeks a Geographic Information Systems (GIS) Specialist to serve as the
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, Reliability & Operations Analyze and optimize storage performance, scalability, availability, and data movement across HPC environments. Lead troubleshooting and root-cause analysis of complex storage and
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harsh environment applications. Develop data acquisition and control systems that include hydraulic or pneumatic actuation and pressure monitoring combined with interrogation of optical fiber-based
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workflows. The successful candidate will develop novel AI methods that integrate scientific knowledge, simulation, experimental data, and large-scale computing to achieve measurable AI advantage in scientific