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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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Join TU Delft and work together with NXP to build low-power AI accelerators for self-healing analog/RF calibration, fixing noise/offset. Co-design algorithms & hardware and validate on real silicon
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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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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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speech at the pinnacle of complexity. Like human babies, songbirds learn their vocalizations early in life from a social tutor. Numerous parallels to human speech learning, including analogous neural
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with analog and digital electronics You may expect a multifaceted and interesting position within an internationally leading research institution. Teamwork and the willingness to undergo further training
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memory devices has only recently been explored, this doctoral project aims to advance that frontier. Initially, the research will explore CMOS–memristor hybrid implementations, leveraging their analog
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microelectronics: In this project, you would develop advanced low-power mixed-signal (analog + digital) circuitry on CMOS chips which will drive our custom implants Bionic Vision implantable probes: In this project
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transceiver front-ends, addressing key design challenges through a comprehensive multi-domain approach spanning antenna, analog/RF, and digital domains. The expected outcome is a novel co-design strategy
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. The following qualifications and skills are desirable: Experience in Python programming Experience with analog and digital electronics You may expect a multifaceted and interesting position within