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computer science or related computational engineering disciplines. Experience with simulation frameworks for complex computer systems and architectures. Some knowledge of accelerator (CUDA, SYCL, HIP) and scientific
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in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct
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between models and experiments), Developing empirical force fields Developing scientific software and workflows Experience in programming for HPC environments, including MPI, OpenMP, or CUDA
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and
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focus on our scientific program with CLAS12 (including the ALERT), Hall C and PRad-II at Jefferson Lab, and/or development of the EIC scientific program, including the development of a polarized light ion
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advanced techniques Plan and execute research on battery materials using structural, chemical, mechanical, and electrochemical methods Maintain adherence to all Laboratory and Divisional Environmental
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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to conceive of, plan, and implement the scientific research, and to report relevant results in publications and conference presentations. The selected individual will have access to state-of-the-art research
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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four staff members [Ian Cloët, Alessandro Lovato, Anna McCoy, and Yong Zhao] and several postdocs and students. The group has a broad research program in QCD/hadron physics and nuclear structure