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computational mesh generation to generate validated computational results that are used for large-scale, physics-based simulations for variety of applications. Our Group: MMF is a computational multiphysics
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Requisition Id 16715 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifing frameworks for high-temperature alloys
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analysis for practical nuclear applications. Proficient with CAD and finite element analysis codes such as ANSYS, ABAQUS, and/or SolidWorks and experience simulating static linear, thermal, or nuclear
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Hazard Category II & III nuclear facilities. Perform engineering analyses and prepare technical reports and calculations. Use CAD tools to share designs and support prototyping or simulation; give drafting
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modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The candidate is expected
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other methods for simulating workloads in a test environment. A proven foundation in high-performance computing, experience with large supercomputers, and knowledge of applications that run on them
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, nuclear material tracking systems, and modeling and simulation tools that inform operational decision-making and policy. The Division collaborates extensively across ORNL and the broader DOE complex
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transfer. Preferred Qualifications: Experience with building energy modeling and simulation tools such as EnergyPlus, or similar platforms for energy simulation and analysis, including model development
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, self-steering simulations, and adaptive experimental campaigns. Open-Source Software Leadership: Own the technical direction and health of open-source research software: code review, CI/CD, testing
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with logic-driven, resource-loaded schedules and detailed cost estimates. Identifying and managing risks, including overseeing the performance of Monte Carlo simulations and other forms of quantitative