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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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Delft and NXP Semiconductors as a PhD researcher developing next-generation testing solutions for analog and mixed-signal automotive chips. Job description The Computer Engineering (CE) section
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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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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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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