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Field
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Detail Information Position Summary As a Postdoctoral Associate in the Department of Earth Sciences , this position will support an investigation entitled “Toward ice sheet surface data assimilation
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advance the development of in the broad areas of emerging memory materials and devices, including post silicon MOSFET-based computing such as analog in-memory-computing or 2D-material based FETs, MEMS
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to the development and testing of innovative timing sensor technologies and high-bandwidth readout strategies. Specification and characterization of analog and digital electronic readout schemes. Making leading
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and meteoritic materials as a result of space weathering and other alteration processes, and/or the weathering of Venus surface analogs under simulated atmospheric conditions. Experience in
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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data acquisition systems. The scholar’s technical expertise will be integral to the successful completion of cutting-edge experiments investigating the roles of ice sublimation and endogenic liquid water
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Functional Materials, 2024, 34, 2406875). This project will further develop this technique with a focus on aerospace applications such as lightning protection, de-icing, and sensing. This position is part of
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through transdisciplinary research, teaching, and outreach. We integrate analog and digital knowledge, tools, methods and creative processes from design, humanities, social sciences, and physical sciences
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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generation of the ongoing IceCube observatory. The successful candidate will have strong commitments to development and calibration of the next generation deep-ice optical detectors and associated software