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Demonstrated research experience in computational physics, machine learning, or related areas. Practical experience in developing novel AI/ML models and algorithms. Experience collaborating in multidisciplinary
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on the challenges presented by analyzing, interpreting, and using data at extreme scales and in real-time. The data science program is accompanied by significant computational modeling research efforts supporting
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, proton, and heavy ion accelerators used to carry out a program of accelerator-based experiments at Brookhaven National Laboratory (BNL). To support this program, the C-AD must design, fabricate, assemble
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a
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Apply Now Job ID JR101883Date posted 06/18/2025 The AI Department of Computational Data Science (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply
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engineering; (ii) Video Foundation Model and its scientific and security applications. The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership
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candidates should have a major in electrical engineering, computer science, or applied mathematics. A background in electric power systems modeling and simulation and data analytics and machine learning
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the results of these studies to the community. Required Knowledge, Skills, and Abilities: Degree in Computer Science, Engineering, or related STEM discipline, and a minimum of Bachelor’s and 2+ years
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the large language models, and multi-modal Foundation Models; ML models for computer vision (CV) and natural language processing (NLP) related tasks; and techniques applied to the scientific discovery, i.e
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and imaging x-ray tools, supported by computational resources for high-throughput analysis and modeling. The program’s scientific focus is to understand and optimize the structural and chemical features