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rigorous wavefront simulations and AI/ML networks that account for the light-matter interactions in various wavelength regimes, and real light source parameters such as coherence, polarization
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scientific programs with a strong focus on Electroweak and Beyond the Standard Model physics. Participation in the development and performance of physics and detector simulations for high-energy and nuclear
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, proton, and heavy ion accelerators used to carry out a program of accelerator-based experiments at Brookhaven National Laboratory (BNL). To support this program, the C-AD must design, fabricate, assemble
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experiment at the EIC. The program includes data analysis involving polarized targets at Jefferson Lab as well as full detector and physics simulations for ePIC. In addition, the candidate will collaborate
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: Perform FLUKA-based Monte Carlo simulations of beam-induced radiation in EIC machine components Quantify energy deposition, power loss, radiation-to-electronics (R2E) relevant quantities, and total ionizing
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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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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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. The EIC will be a discovery machine for unlocking the secrets of the “glue” that binds the building blocks of visible matter in the universe. The machine design is based on the existing and highly optimized
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of the student will be the performance of power grid modeling and simulation, statistical analysis and machine learning applications in power system control or cybersecurity, and the implementation in Python and
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video foundation models. Knowledge and experience with LLM and RLM. Basic knowledge of integrated circuit design, digital simulation and logic synthesis. Familiarity working in multidisciplinary