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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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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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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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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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Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a wide range of material parameters. The CFN develops and utilizes
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Research program. The project aims to integrate a diverse suite of high-resolution observations (atmospheric, land surface, and infrastructure), diagnostic/predictive models, and civic engagement to provide
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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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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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simulation, AI based detector design optimization, streaming computing model development, production, distributed computing and workflow management, software infrastructure, particle ID, tracking
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, safeguards, and healthcare. The Group is heavily involved in engineering design, modeling, testing, and field deployment of radiation detection systems to support sponsors in their operation and research. In