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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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-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal conditioning, but is limited to a narrow operation temperature
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We seek you as a PhD candidate to investigate enabling CMOS-like operation in GaN Devices. Silicon devices have both nMOS and pMOS to realize power efficient and seamless analog and digital signal
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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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recovery mechanisms will also be evaluated and integrated, addressing the susceptibility of analog and in-memory computing to noise, process variation, and soft errors. The primary objective is to design a
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related discipline. Strong background in analog and mixed-signal integrated circuit design. Experience with Cadence tools for schematic design, layout, and circuit simulation. Interest or prior experience
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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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-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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without neurons in physical systems, Ann Rev Cond Matt Phys14, 417 (2023) [4] Dillavou, Beyer, Stern, Liu, Miskin and Durian, Machine learning without a processor: Emergent learning in a nonlinear analog
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-on-rfmicrowave… Requirements Specific Requirements You are a self-motivated and enthusiastic researcher; You have an MSc degree with excellent grades in Electrical Engineering, with a specialization in Analog, RF