72 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions at Argonne
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be
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define requirements and performance specifications for future HEP/NP detector systems Perform detector concept development, system-level design, and optimization leveraging emerging computing architectures
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from visible to telecom wavelengths Implement and test scalable readout architectures for nanowire arrays, including multiplexing concepts based on superconducting cryogenic switches (hTron, fTron
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, including both the large-scale production machines and the testbed machines featuring novel architectures such as Cerebras and SambaNova. The list below provides examples of the potential tasks
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architectures and device technologies Developing and applying simulation and modeling tools for detector performance, characterization, and validation Providing technical feedback to guide intelligent on-detector
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ferroelectrics, plasmonics, semiconductors—into photonic and THz architectures. This is an outstanding opportunity for candidates with a strong background in nanofabrication to contribute to cutting-edge quantum
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for AI and deep learning (details: NVIDIA DGX-2) Intel-based Aurora Supercomputer: A next-generation supercomputing system (details: Aurora Supercomputer) Additional advanced compute architectures designed
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external partners Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics, chemistry, or physical chemistry Demonstrated expertise in theoretical quantum
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preparation of manuscripts, reports, and presentations; present findings at internal meetings and external conference Collaborate in a multidisciplinary team environment spanning experimentalists, theorists
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for the proposed XRS microscopy instrument, including: performance requirements (throughput/solid angle, energy resolution, imaging/spatial resolution, stability), spectrometer architecture and scaling plan