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application development techniques (programming models, algorithms, software) at scale (large processor counts). Excellent interpersonal skills, oral and written communication skills, organizational skills
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Requisition Id 16754 Overview: The Computational Sciences and Engineering Division ( https://www.ornl.gov/division/csed) in the Computing and Computational Sciences Directorate at Oak Ridge
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measurable AI advantage in scientific discovery. Research directions may include scientific foundation models, physics- and knowledge-guided machine learning, graph and geometric learning, surrogate and
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foundation in machine learning and deep learning. Strong foundation in the basics of cybersecurity such as file and network traffic analysis. Preferred Qualifications: Experience using novel
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/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design
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manufacturing applications. In this role, the postdoctoral researcher will focus on developing foundation models for fluid and plasma dynamics, including aerodynamics, turbulence, and edge/scrape-off-layer
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typical for an individual to be offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: We are seeking
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strategy to identify, nominate, and support candidates for prestigious national and international awards, fellowships, academy memberships, foundation honors, federal recognitions, and professional
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first 3 years of their ORNL employment to establish the foundation for a long-term career at ORNL. Application Process: Applications will be accepted from September 1, 2026, through October 16, 2026
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank