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leading role in detector operations and in major upgrade efforts, including the ITk Pixel detector and TDAQ systems. The group is also actively advancing work in high-performance computing (HPC) and
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environment that brings together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for
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guide synthesis in real time AI-enabled analysis of high-throughput, multimodal experimental data with uncertainty quantification Integration of edge computing, high-performance computing (HPC), and
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) as evidenced by their publications High performance computing (HPC) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency
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winds, land–atmosphere interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with
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nitrogen-vacancy (NV) diamond quantum magnetometry for high-energy physics experiments. The HEP Division performs cutting-edge research leveraging advanced detector development, high-performance computing
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the design, fabrication, and characterization of superconducting devices based on high kinetic inductance materials. This position offers a unique opportunity to help build a new research capability
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experience applying them to molecular systems. - Familiarity with scientific programming and data analysis using languages such as Python or Julia, and experience with Linux and high-performance
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-class experimental and computational capabilities, including the Advanced Photon Source (APS), the Center for Nanoscale Materials (CNM), the Argonne Leadership Computing Facility (ALCF), and AI
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Responsibilities: Evaluate the performance of assigned staff; recommends professional development, salary actions, and promotions Play a key role in the recruitment and selection of high-quality staff