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network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data
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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks
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rapid, data-driven, physically informed and human-aligned decision framework capable of robust, equity-aware intervention planning under climate uncertainty. This PhD will develop a decision-support
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Fully-funded PhD Studentship – Next-Generation Integrated Opto-Electronic Devices for Switching, Computing, and Sensing We are offering a fully-funded PhD studentship in the field of photonics and
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this fully funded PhD studentship in Physics. We’re looking for a student who has a passion for science, with ambition to apply their own ideas, perspectives, and their personal skillset to the discovery and