60 power-electronics-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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diffraction, electron microscopy (SEM and TEM), spectroscopy (FTIR and Raman), and electrochemical (EIS and battery cycler). Publication record with excellent written and oral communication skills. Ability
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circuits that couple to both macroscopic magnetic crystals as magnon target mass and solid-state single-electron qubit with magnetic field compatibility. Develop superconducting hybrid circuits that couple
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for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance. The successful candidates will lead experimental
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The Materials Science Division (MSD) at Argonne National Laboratory is seeking a postdoctoral appointee to join the Nanoscale Magnetic and Electronic Heterostructures group. This position will focus
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science, or a closely related field Experience in the development and/or deployment of superconducting devices, or related technologies in quantum devices, low-temperature systems, microelectronics, or
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into photonic or electronic systems Hands-on experience with SEM, AFM, TEM, and other characterization tools Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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optical and THz techniques. Ability to analyze and understand complex data set is required. Experience to lead ultrafast x-ray scattering or electron scattering experiments is a plus but not required
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Science or related fields. Knowledge and hands-on experience in the following areas: organic chemistry and synthesis, electrochemistry, and chemical and electrochemical analysis. Ability to communicate
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exchange, adsorption, precipitation, or related unit operations Experience with instrumentation, sensors, data acquisition, and control systems for laboratory-scale process equipment Demonstrated ability
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team and contribute to IDEAS (Intelligent Data Exploration Assistant for Science), a multi-year research effort focused on developing AI-powered visualization systems that enable interactive, human-in