300 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Oak Ridge National Laboratory
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for the nonproliferation program office. Mentor early to mid-career engineer staff in the infrastructure design of the Uranium Science and Technology Center. Design, develop, and implement technology control or protection
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expertise in one or more of the following research areas: The design and analysis of computational methods that accelerate AI/ML when applied to large scientific data sets; Energy efficient physics-aware
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on nuclear programs and issues. Generate analytical assessments on nuclear processing technologies to include process operations, engineering, and technical developments. Provide expertise on nuclear material
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external entities. Process and direct vulnerability scanning activities across multiple enclaves in keeping with their specific requirements. Maintain strong communications relationships with ORNL’s various
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to meet the growing demand for radioisotopes. ORNL is the largest multi-program science and energy laboratory in the Department of Energy system. This role directly supports mission-critical nuclear
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also include the following: pre-procurement planning with customers, pre-proposal conferences, facilitating concurrent reviews, leadership of subcontract negotiations, participation on process
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to the Balance of Research Group within QAD, with deployed responsibilities to the Physical Sciences Directorate (PSD). The DQSS will have regular interactions to determine quality and directorate initiatives
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physical forms needed to support the user communities. You will work closely with a focused group of scientists, technicians, and engineers on challenging, milestone driven technical projects in support of
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regulations. Major Duties/Responsibilities: Responsible for designing, configuring, and troubleshooting network systems, as well as maintaining computer networks, switches, routers, firewalls, and other
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated