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planning principles and frameworks that can be applied to various urban environments. Monitor and evaluate multi-energy-system integration solutions to ensure they comply with regulations and standards
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Requisition Id 17038 Overview: We are seeking a Postdoctoral Research Associate with a strong background in organic synthesis and coordination chemistry to develop novel chelation platforms for s
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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order calibration approaches and apply
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to contribute to the development unique science directions, in collaboration with the Team and sponsoring organizations. Furthermore, the position requires collaborating and interacting with staff at ORNL’s
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Confidential Computing and Secure Multi-tenancy. The candidate will be able to make research contributions in areas of system software architectures to support secure computing enclaves on large scale HPC and
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
system technologies. This position resides in the Multifunctional Equipment Integration Group in the Thermal System Science Research Section, Buildings and Transportation Science Division, Energy Science
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multidisciplinary team. Excellent interpersonal, oral, and written communication skills. Preferred Qualifications: Experience with AI/ML approaches for spatiotemporal or Earth system data, including generative AI
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system, MCNP, OpenMC, Serpent, VERA, MOOSE codes, etc.). Experience with common programming and scripting languages (e.g., Python, C++, Matlab, JavaScript). Preferred Qualifications: As this position works
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supercomputer, the world's first exascale computing system. This is a unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and