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for this candidate are between two larger efforts in the laboratory. The first effort is in identification of cost-effective technologies (both emerging and at industrial scale) for critical minerals recycling from
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the development and application of first principles methods and their incorporation into agentic AI workflows for materials discovery. Emphasis will be placed on robust, efficient, and sustainable software
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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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
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related to magnetic materials, experience with first-principles electronic structure methods and proven expertise in developing and/or applying advanced AI/ML methods for accelerated materials discovery
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Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at ORNL. Major Duties/Responsibilities: Develop and use first principles methods to describe electronic and magnetic structure
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Language Models. The NCCS is the home of the world’s first exascale supercomputer Frontier. Our Leadership Computing Program (OLCF) provides world class computing facilities to applications across all
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– in how we treat one another, work together, and measure success. Basic Qualifications: PhD (completed by start date) in plant ecophysiology, plant biology, ecology, Earth system science, or related
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priorities. Willingness and ability to learn new research areas and contribute effectively with initiative and enthusiasm. Excellent written and verbal communication skills, with a demonstrated record of