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better ways to design neuromorphic or brain-inspired computing systems. These mechanisms must be energy-efficient, reconfigurable, and secure, especially for edge devices. This PhD project focuses
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meetings and reviews, and assist in the organization of project-related demos and workshops For further information, please contact: Dr. Jorge Querol ( ) Your profile A MSc degree (or PhD) in Electrical
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of computing systems—driven by edge devices, AI accelerators, and domain-specific architectures—has created unprecedented hardware heterogeneity. Modern platforms combine CPUs, GPUs, FPGAs, ASICs, and emerging
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ESA projects and carries out technological research and development (R&D) in the field of integrated circuits (ASICs, ASSPs, FPGAs, microprocessors and microcontrollers). Duties Reporting to the Head of
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potential for those solutions. Develop architectural and circuit models for emulation in FPGA hardware Develop metrics and benchmark tests in order to compare conventional CMOS based processors/accelerators
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projects both within the Department and across the university. Your research interests could include embedded systems and FPGA programming, with applications in biomedical, image processing signal
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a related field with at least 15 years of relevant experience; an MS degree with a minimum of 12 years of experience; or a PhD with at least 6 years of experience. Demonstrated experience in leading
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regarding employment laws and regulations. Preferred Qualifications PhD. D in in Electrical or Computer Engineering and ten or more years of experience in digital or system architecture for SoC/FPGA/ASIC
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systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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Hardware Engineer in the Data Acquisition Hardware Group who will use your skills architecting, constructing and programming data acquisition hardware systems composed of field programmable gate array (FPGA