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Field
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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, code, procedures, immersive simulated environments, and hardware prototypes for the Medical Autonomy Research and Validation in Extreme Environments Laboratory (MARVEL). The MARVEL Lab advances
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Researcher in FPGA-based AI Hardware Acceleration who has: strong experience in FPGA design, machine learning or a related field in the case of the Postdoctoral Research Associate, a PhD (or near completion
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Full time, fixed term for 12 months Opportunity to advance research in AI Hardware Acceleration Base Salary $89,831 - $121,054 + 17% superannuation About the opportunity The School of Electrical and
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substantial autonomy to shape the design and integration strategy Design and prototype novel hardware and control systems for in vitro platforms Adapt and implement machine learning protocols for robotic
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topics: Waveform design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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PI in launching new interdisciplinary robotics research and educational initiatives in the ECE Department and across the College of Engineering, including foundational program design and curriculum
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develop the first fault-tolerant quantum computers that can handle applications at realistic scales. To date, several architectures for quantum hardware have been developed that all have their strengths and
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of responsibility are: 1. Barrel Hadron Calorimeter Group : This includes work on the UNH test stand and commissioning of the detector, encompassing both simulation and hardware development. 2. Polarized Deuteron