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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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optical setup construction. They will make use of commercial simulation software to test electromagnetic designs, algorithmic coding to design metamaterials, fabrication techniques to produce
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behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help of the simulation tool To support in the development and
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) at the latest. Applicants selected for an interview will be notified by September 5, 2025. We intend to schedule interviews (in person or via Zoom) in the second week of September. The ideal start date would be
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for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
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capabilities needed for truly sustainable operations. Research Question: How can AI-enhanced digital twin technologies with advanced optimisation algorithms transform manufacturing processes to achieve
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on schedule, examples of overcoming barriers to progress etc) Teamwork: Demonstrable experience of working in a collaborative manner with team colleagues at all levels, as part of a diverse, inter-disciplinary
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supported research project that is time-limited and scheduled to conclude in April/May 2026. The fixed-term nature of the role reflects the specific funding period and project timeline. The post-holder will
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algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake two industry placements at Spirent, use high-tech simulation