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-brightness, high-charge electron beams in multi-frequency linac architectures using tools such as ELEGANT, RF-Track, and ImpactX. Investigating tailored electron-bunch phase-space distributions for generating
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networking, distributed quantum computing, quantum-system architectures, or closely related areas. Develop models, algorithms, simulation capabilities, and research software for the design and evaluation
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implementing power grid planning/operations algorithms and tools and conducts data analysis related to energy and power systems, with emphasis on the following areas:optimization and stochastic modeling
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Publications: 1. P. Chen et al., Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nat Commun, 10:1158 (2019). https://doi.org/10.1038/s41467-019-09077-1. 2. P. Chen et al., Optics
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(e.g. weather, hydrology). Expertise in data and model parallelisms for distributed training on large GPU-based machines is essential. Candidates with experience using diffusion-based or other generative
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language. Working knowledge of UNIX or Linux. Preferred Knowledge, Skills, and Experience Experience with machine learning and accelerator operation. Experience working with complex algorithms. Experience
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experimental cycle from real-time X-ray measurements to post-experiment reconstruction: Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets. Implement
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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instrumentation, working at the forefront of ultrafast science, and collaborating across disciplines. To learn more about the AMO Physics group click on the link below: https://www.anl.gov/cse/atomic-molecular-and
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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be