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Apply Now Job ID JR101805Date posted 04/25/2025 The AI Department of Computational Data Science (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply
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, preferably in Computer Science, Mathematics, or Physics. Outstanding verbal and written communication skills, including speaking clearly, simply, and patiently with students who may be non-native English
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documents. Ability to sufficiently write/complete work orders and other required documents. Ability to communicate verbally with customers, fellow workers and supervisors Possess basic computer skills. Must
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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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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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for the Electron-Ion Collider (EIC) being built at BNL. The EIC has many complex and unique challenges which will require creative solutions and close collaboration with the other technical engineering groups
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responsible for the Instrumentation Department, the Accelerator Science and Technology Department, and two new departments which will comprise the microelectronics and quantum information science and technology
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. · Contribute to writing procedures to ensure operational excellence. Required Knowledge, Skills, and Abilities: · BA/BS Degree or equivalent experience, preferably in Computer Science or related technical
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are conducted in compliance with BSA’s Prime Contract, applicable statutes and regulations, and in accordance with the highest ethics and standards. Oversight of BNL Property Management Program to effectively
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active enrollment in a PhD program in physics, nuclear engineering, or relevant fields Knowledge of radiation detectors or high-energy particle detectors Demonstrated experience in data analysis in