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applications. Our Group: MMF is a computational multiphysics modeling group at the forefront of deploying novel computational engineering techniques for problems that are critical to U.S. national and energy
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virtual/augmented reality applications Collaborate with multidisciplinary teams across computing, engineering, and scientific domains Publish research results in high-impact peer-reviewed journals and
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. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants cannot have
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experimental mechanics, mechanical behavior of materials, failure analysis Demonstrated experience in application of AI and machining learning in manufacturing processes Demonstrated experience in experiment
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performance modeling, static analysis, or PIM/heterogeneous architecture research. Knowledge of large-scale scientific computing applications and algorithms (sparse linear system solvers, dense matrix
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Requisition Id 16197 Overview: We are accepting applications for a Postdoctoral Research Associate position who will focus on the intersection of material science, materials characterization, and
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foundation models or scientific LLMs Special Requirements: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before
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Write software to support cutting edge research and facilitate Proof of Concept demonstrations Implement, evaluate, and enhance machine learning pipelines for cybersecurity applications Basic
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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applications. You will utilize ORNL's new capabilities of aberration-corrected scanning transmission electron microscopy (STEM). A particular focus of the research will be understanding heterogeneities, such as