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material. Interface with RRD staff, vendors, and ORNL Procurement on activities such as bid and award information, exceptions to requirements and delivery information, and noncompetitive justification
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array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world
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direction, mature technologies from lab to field, and integrate sensors, data pipelines, and analytics into operational environments. This position requires deep practical experience in power engineering and
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of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve complex configuration and troubleshooting
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, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth science, geography, environmental modeling, environmental science, or a closely related field, and at least two years of post-PhD
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or SolidWorks platforms to produce electrical schematics and equipment designs. Familiar with Allen‑Bradley automation hardware, National Instruments data‑acquisition platforms, or comparable industrial
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the planning of inspections and tests, and interpretation of data collected Proposes corrective actions to improve compliance with quality specifications Performs inspections and sets quality assurance testing
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characterizations. Experience with user facilities. Data analysis of structural, electronic, magnetic, and topological properties. Work with others to maintain a high level of scientific productivity. Publish
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Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation. To obtain this credential, new employees must successfully
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environments. Experience with parallel computing environments, HPC in a Linux environment. Experience with surrogate modeling. Experience with data analytics techniques. Familiarity with C++ and GPU programming