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Languages (Verilog, VHDL, or SystemVerilog). Experience with standard hardware communication protocols (e.g., SPI, I2C, UART, PCIe). Experience in software engineering, including writing efficient, scalable
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. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top
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of photonic quantum resource states, and use of photonic quantum states for quantum computing. Formulate novel quantum sensing and computing solutions to problems of national interest and support the research
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support the neutronics and thermal-hydraulics analysis. Major Duties/Responsibilities: Design, develop, optimize and analyze reactor models using world-class modeling and simulation codes (SCALE, VERA
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of values and ethics. Collaborate within a multi-disciplinary research environment consisting of experimentalists, computational scientists, and engineers conducting basic and applied research in support of
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divisions and directorates with researchers and engineers to execute excising NNSA programs. Prepare and present periodic reports documenting research and development activities. Ensure compliance with
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commercial (e.g. Abaqus, ANSYS, etc.) and/or open-source finite element (FE) codes (e.g., MOOSE, DAMASK, etc.) is required. Experience with microstructural modeling (e.g. crystal plasticity) applied to fatigue
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into nuclear forensics applications. The Materials & Chemistry Group focuses on fundamental chemical and physical science related to nuclear fuel cycle materials in support of national security objectives. MCG
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
technical reports, peer-reviewed publications, presentations, and project deliverables for sponsors and stakeholders. Collaborate with multidisciplinary teams and engage with researchers, engineers, and
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credible claims of quantum advantage. Develop and apply physics-informed AI/ML and digital-twin capabilities to improve modeling, parameter inference, uncertainty assessment, and adaptive feedback between