293 information-security "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" uni jobs at Oak Ridge National Laboratory
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Qualifications Familiarity with relevant DOE regulations, applicable safety or security standards, and experience in a major experimental research facility or equivalent setting are highly desirable. Preference is
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Requisition Id 16234 Overview: Oak Ridge National Laboratory (ORNL) is seeking a Production Engineer for our world class radioisotope production program. Supporting the largest radioisotope
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architectures Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics Publish findings in high-impact journals and present at leading conferences Required
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combination of education and experience may be considered. Preferred Qualifications: Experience in DOE safeguards and security operations is desired, as well as database management. Excellent human relations
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Requisition Id 16186 Overview: The National Center for Computational Sciences (NCCS) at Oak Ridge National Lab (ORNL), which hosts several of the world’s most powerful computer systems, is seeking
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senior engineers and other IT and IA professionals to ensure the confidentiality, integrity, and availability of network services in compliance with government security regulations. As part of our team
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testing. Security, Credentialing, and Eligibility Requirements: For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is
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systems. Ensures work is conducted in accordance with appropriate tagging, safety, and configuration control procedures. Reviews drawing changes. Reviews maintenance work packages. Generates LO
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group in the Safety & Operations Support Division and will be matrixed to support the Nuclear Analytical Chemistry (NAC) Section, Chemicals Sciences Division (CSD), Physical Sciences Directorate (PSD
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engineering. This position seeks a candidate with demonstrated experience in applied machine learning and computational data science for complex, safety-critical systems, with an emphasis on time-series anomaly