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, ultra-low-energy properties perfect for creating novel, brain-like hardware neural networks. We have an exciting opportunity to join the School of Computer Science as a Research Associate for an EPSRC
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hardware development and experimental research is essential. Experience in CAD, fabrication, electronics, programming or control would be beneficial. These are additional project-specific preferences
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both to develop algorithms for future fault-tolerant devices and to conduct tests on real quantum hardware. Across the project, the student will identify the main bottlenecks in speed, accuracy, and
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implementing IMG standards. Contribute to completion of Machinery Technical files for prototype machinery to support research and development activities. Contribute to project hardware requirements including
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of advanced hardware architectures. The project brings together researchers at Sheffield, Kent and Surrey, alongside academic, industrial and governmental partners including ARM, Galois, Defence Science and
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equipment within bespoke cells to improve the efficiency and performance of machines. Provide guidance, assistance and technical advice with programming and integration of associated software and hardware
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systems and services, diagnosing and resolving moderate to complex technical issues with minimal supervision. Working across campus locations, you'll apply your technical knowledge to address hardware
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standards. Support project hardware requirements, including procurement, completion of functional testing plans, creation of lifting plans and authoring risk assessments. Provide high-level technical
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Overview Based in the Electromagnetics, Wireless Hardware and RF Devices Research Group, within the School of Electrical and Electronic Engineering, you will make vital and leading contributions