10 virtualization-"https:"-"https:"-"https:"-"https:"-"https:"-"GEUS" Postdoctoral positions at Argonne
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. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred skills: Microwave circuit design, terahertz optics, and their characterization. Knowledge about near
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and spectroscopy measurements About the Team You will become part of a highly collaborative team of physicists and engineers from Argonne’s High Energy Physics (HEP), X-ray Science (XSD), and Materials
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reaction kinetics and complementary physical organic and inorganic chemistry approaches. This is an exciting opportunity for an early-career scientist who is passionate about sustainable materials, catalysis
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scheduled to run in CY26 Lead role in our MCP-PMT R&D program, with emphasis on device characterization and QA You may combine these focus areas with other ongoing projects in our group. About Argonne and the
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pressure, and high strain rates, in effort to address outstanding scientific questions regarding material behavior near and across the solid-melt transition and into the melt region. Measurements will be
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, spectrum analyzer, or FPGA-based data acquisition. Cryogenic measurements and equipment maintenance, preferably dilution refrigerator. Knowledge about low-noise microwave characterization, including use
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superconducting device concepts for applications in: Dark matter detection Neutrino measurements Millimeter-wave line intensity mapping surveys Quantum sensing About the Team The postdoctoral researcher will join a
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research interests to Ian Cloët ([email protected] ). 3. Arrange for three letters of recommendation to be emailed to the same address. Any questions about the position may be sent to Ian Cloët ([email protected]
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emitters, including photon correlation and spectroscopy measurements About the Team You will join a collaborative team of physicists and engineers drawn from Argonne's High Energy Physics (HEP), X-ray
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, reproducibility, and scalable data understanding Position Requirements PhD completed within the last 0–5 years (or near completion) in Computer Science, Computational Science, Visualization, Human–Computer