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Applied Mathematics and Computational Research Division has an opening for a Computer Systems Engineer 3 - Optimization and AI for Scientific Discovery to develop and apply machine learning, agentic AI
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of Energy (DOE) experimental facilities. This role involves research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high
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technologies for remote detection. Specifically, this position involves research on generation of widely tunable GHz-THz femtosecond pulse bursts to optimize laser-matter coupling, plasma generation, and
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approaches. Develop, optimize, and maintain code and algorithms supporting predictive models. Combine computational algorithms with laboratory automation to enable self-driving laboratories and automate
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. Additionally, the incumbent will optimize procurement tools and reporting while overseeing vendor management to proactively resolve contract performance issues and strengthen supplier relationships for overall
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that will achieve the optimal control or reduction of hazards and exposures while maintaining budgetary constraints. Evaluate safety records, performance and qualifications of construction subcontractors
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arrangements. Will exercise independent judgment in selecting methods and techniques for obtaining solutions. Desired Responsibility: In collaboration with EESA Operations Team, ensure optimal efficiency and
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research and development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1