334 information-security-"https:"-"https:"-"https:"-"UCL" positions at Oak Ridge National Laboratory in United States
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Requisition Id 16074 Overview: We are currently seeking qualified applicants with Information Systems Security Officer (ISSO) experience to support the Field Intelligence Operations Division’s
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Requisition Id 16198 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
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security; cyber and information security; drills and exercises; transportation security; nuclear education and training; emergency preparedness and business continuity; classified information protection; and
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analysis, documentation, reporting, and knowledge integration, consistent with data security and regulatory requirements. Experience using statistical software and relational database management tools with
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compliance-driven or DOE-regulated environments. Facility with AI and large language models (LLM) tools to support analysis, documentation, reporting, and knowledge integration, consistent with data security
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nation’s most complex scientific and security challenges. ORNL’s mission is carried out by a dedicated and creative staff working across disciplines to accelerate scientific discovery and translate research
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Requisition Id 16281 Overview: We are seeking an Associate R&D Staff Member in Data Science for Advanced Manufacturing who will focus on the development of next-generation, data-driven manufacturing
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conditions. This position is critical for ensuring that AI systems remain resilient, robust, and secure against evolving threats. This person will play a key role within ORNL’s Center for AI Security Research
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Requisition Id 16119 Overview: We are seeking a Senior Nonproliferation Data Scientist to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences
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, Teamwork, Safety, and Service Basic Qualifications: A Ph.D. degree in Mathematics, Computer Science, Physics, Chemistry, Engineering, or a related discipline. A strong foundation in linear algebra (tensor