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control • CS Studio, EPICS and IOC programming experience Environmental, Health & Safety Requirements: • May be required to walk up to 0.5 miles & climb stairs to access equipment • May be required
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interaction physics, precision calculations of (g-2) and PDF determinations, and the development of new algorithms, among others. Position Description The successful candidate will be expected to conduct
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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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will be part of a team that already uses machine learning to improve online accelerator models and that develops correction algorithms for accelerator operations. This position is for a 2-year research
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to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary. Essential Duties and Responsibilities: Conduct research and develop novel AI/ML algorithms and
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Architectures and Algorithms, Extreme Scalability, Knowledge Discovery, Cybersecurity, and Energy. Work with the Laboratory Director and Leadership Team to identify and implement strategic research opportunities
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to take a leading role in studying the origin of Lambda hyperon transverse polarization in electron scattering experiments—such as the CLAS12 experiment at Jefferson Lab’s 12 GeV program and the ePIC
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collaboration to develop software that integrates advanced algorithms into experimental workflows, implement services for experiment control, and deploy AI tools alongside large-scale scientific infrastructure
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the individual’s purview on at least a monthly basis. Act as a high-level liaison to the wider EPICS community through participation and organization of official events hosted at BNL and other laboratories and
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develop novel AI/ML algorithms and solutions. Disseminate research findings in publications, posters, project reports, presentations, and other related media. Work in interdisciplinary collaborations with