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funds under the 2023.11981.PEX project reference. Scientific Area: Basic Sciences and Enabling Technologies Group: Integrated Circuits - Lx Work Objectives: This work plan addresses the problem of analog
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responsibilities will include: Design and develop analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN
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: Master in Electrical/Electronic Engineering with proven knowledge of analog/mixed-signal integrated circuits. Additional research/development experience in any of the following topics is a plus: hands-on
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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& Nanotech platforms, and EPFL's NeuroTech labs). Profile Sought We welcome motivated candidates with a strong background in: • RF circuits / analog electronics • Electromagnetics / antenna design • Wireless
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-circuit-des… Requirements Specific Requirements A master’s degree in electrical engineering, computer Engineering, or a related field. Strong background in analog and mixed-signal circuit design and
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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neuromorphic hardware, this project will push into next-generation analog circuits and memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear
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for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital neuromorphic hardware, this project will push into next-generation analog circuits and
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: Solid background in analog/mixed-signal ultra low power CMOS circuit design, including experience with amplifiers, data converters, and bias circuits. Experience with industry-standard EDA tools such as