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will involve designing beam dynamics experiments, measurement, simulation, and data analysis. This position resides in the Accelerator Physics Group in the Accelerator Science and Technology Section
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attention to detail Experience with geospatial data visualization tools such as ArcGIS, Cesium, AWS, or similar. Familiarity with urban-scale building energy modeling/analysis Experience working in Agile
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applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data management, workflow systems, analysis and
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materials. In this role, you will develop and apply methods that integrate physics‑guided image correction with intelligent (AI/ML‑enabled) data‑acquisition strategies. Key objectives include (1) implementing
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, real-time data integration, condition monitoring, and predictive diagnostics. Proficiency in dynamic and vibration analysis using commercial finite element and multiphysics platforms such as ANSYS and
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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, and material characterization efforts Supervise students and interns supporting modeling and data analysis tasks Prepare technical reports, invention disclosures, and peer-reviewed publications Present
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capabilities in experimental design, complex data analysis, technology and process development, and effective communication of findings through reports and presentations. Lead advanced research by applying
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and analysis techniques to support these experimental efforts. Contribute to the development of ML/AI tools for nuclear physics and nuclear data applications. Publish papers, reports, and act as
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signatures, single cell or partial detection, high throughput analysis, age dating, standard production, and how to apply the information to a system. Your work will contribute to the advancement of material