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Field
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be the head of the computing unit. About the project The primary research goal will be to create quantitative performance models that describe a range of numerical methods, parallel programming models
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to demonstrate and evaluate the performance of the innovative low latency and high capacity optical switched AI computer network architecture empowered by the developed photonic integrated WDM switches and
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scheduling algorithms for fast control and reconfiguration of the optical AI compute clusters. Realize a small-scale compute cluster lab testbed to demonstrate and evaluate the performance of the innovative
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the capacity to work both independently and within a collaborative research team are essential. Prior experience with optical systems, inverse problems, generative models, or high-performance computing
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Overview The DPhil project will explore next-generation neuromorphic computing technologies that exploit the natural dynamics of physical systems to perform brain-inspired information processing
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, medical devices, phones, sensor networks, condition monitoring systems, high-performance compute, and high-frequency trading. This CDT develops researchers with expertise across the systems-ML stack
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consumption. The overall aim is to establish new device concepts that could contribute to high-performance classical computing and emerging brain-inspired computing hardware, while addressing fundamental
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of developing low-risk, high-performance geothermal energy solutions. The PhD will examine high-density polyethylene U-tube systems suspended in minewater voids, focussing on: i) their comparative performance
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Integrated optics is currently experiencing unprecedented growth, driven largely by the rapid expansion of artificial intelligence (AI), cloud computing, and high-performance data processing
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between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also explore hybrid