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Field
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embedded systems from vulnerabilities rooted in sensor physics, studying the impact of physical signals (e.g., acoustics, lasers, electromagnetic emissions) on AI and sensing systems, and innovating hardware
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involved in SpinQuest at Fermilab and the MUSE experiment at PSI. Our hardware program includes the ePIC Barrel Imaging Calorimeter, and instrumentation R&D such as a polarized lithium-ion source for EIC
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++ and Python are required. Experience with control and optimization of power generation systems (e.g., wind power) is desirable but not required. Some experience with real-time control hardware is
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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neuroscience through innovative AI technologies. This unique position represents an extraordinary partnership with industry-based collaborators, and will include vendor-sponsored hardware and software
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: The postdoctoral researcher will be expected to participate in the project’s work and lead a team of graduate and undergraduate researchers performing the following major tasks: Design experimental apparatus
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require good programming skills and experience in C++ and its common programming idioms and design patterns . Knowledge of MATLAB, Python, Julia, or a similar scripting language is necessary