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Project Description The next generation of signal processing, computing and artificial intelligence (AI) technologies will be unlocked by the close integration of electronics and photonics
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minimal environmental impact. However, their practicability is often limited by suboptimal power management circuits (PMC), which need to be optimised or custom-designed on a case-by-case basis
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, networking and sensing. Photonic integrated circuits (PICs) are the optical equivalents of electronic chips. Microscopic waveguides guide light across a chip to perform a multitude of functions — at the speed
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its interactions with different midbrain regions. The successful candidate will use a variety of systems neuroscience techniques in rodent models to interrogate neural circuits underlying affective
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framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
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that can anticipate and adapt to the behaviour of humans and other autonomous agents. This PhD project aims to investigate the integration of Theory of Mind (ToM) reasoning into autonomous agents to improve
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technology for future low-inertia power systems, and wind energy, as one of the largest and fastest-growing sources of clean electricity, occupies a significant role in this transition. The integration of grid
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humidity ranges. By exploiting advances in materials design, it is possible to tailor ionic transport properties while maintaining structural integrity under demanding electrochemical environments
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common materials in new ways to build bespoke, miniaturised antennas using magnetic nanoparticle structures. Your designs will make it possible to integrate digital technology platforms in previously
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into lightweight, deployable VLMs without sacrificing performance. The research will explore architectures that integrate medical images and clinical text while remaining parameter-efficient through modern