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Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: PhD in ICSA with a start date of 1 September 2026. Applicants should state “Memory
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engines will no longer rely solely on centralised on-board computers; but will leverage distributed, multi-layered control architectures and off-board computational power to optimise performance in real
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inherent in these systems. This research pioneers the fusion of distributed computing and artificial intelligence (AI) to create a resilient, next-generation architecture. The project aims to empower IoT
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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work — and how to design better ones. Why apply for this PhD? Work on the next-generation AI hardware beyond traditional computing architectures. Gain a unique combination of skills in mathematics
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expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
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; Mechatronics; Agricultural Engineering; Mechanical Engineering; Electrical/Electronic Engineering; Computer Science; Control Engineering, or a related discipline Desirable: • Programming in Python or C
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an interdisciplinary team of academics in architecture and environmental sciences, you will contribute to new insights into the effectiveness of these interventions, helping to inform the design of future schemes aimed
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Requirements Essential Criteria MSc (or equivalent) in a relevant discipline (e.g. Computer Science, Robotics, Architecture, or related fields). Knowledge or experience in robotics or architectural systems
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to single-platform radar systems, distributed Synthetic Aperture Radar (SAR) architectures offer increased flexibility and resilience, more rapid environmental mapping, improved spatial coverage and enhanced