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conferences and journals, and gain experience in architecture design, hardware implementation, FPGA prototyping, and AI applications. What are you going to do? As a PhD candidate, you will contribute
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innovative hardware architectures and design methodologies, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Conduct independent
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opportunity to provide leadership in the delivery and development of undergraduate and postgraduate education in computer architecture, digital systems design, and hardware engineering. You will help
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complete embedded systems, from sensor and processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine
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electronic systems, defining the hardware architecture, selecting components, and drawing up electronic schematics in accordance with project requirements. Design multilayer PCBs, performing simulations
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, reliability, accuracy, performance, energy use, and hardware overhead. Design reproducible experiments, document results, and communicate findings through research reports, peer-reviewed publications, and
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Multiple Tenure-Track Assistant Professor Positions in Microelectronics, Circuits and Systems Design
sequence; Analog IC Design; sensor/measurement laboratory modules; mixed-signal design projects. Digital VLSI and AI Hardware Systems Key research areas: ASIC / FPGA design flows; AI/edge accelerators
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security. Examples of our research topics include hardware design security, microarchitectural security, and DRAM security to name a few. Job description We are looking for a highly motivated postdoctoral
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/ FPGA design skills. Good understanding of CPU architectures Relevant academic or industrial research experience in either: Hardware accelerated custom computing. RISC-V design/prototyping. This is
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neural network types for efficient hardware implementation Developing an FPGA-optimized design Performing device-aware training using both simulated and measured datasets Validation of the complete