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candidate will contribute to feasibility studies on hybrid propulsion systems, the development of robust control architectures for autonomous docking, and predictive maintenance strategies using real-time
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced
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optimized for resource-constrained IoT edge devices, - And what role optimised computing architectures can play in executing these models efficiently. The project will be conducted in close
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PhD Studentship: Electrical Machine Architectures for Next-Generation NetZero E-Mobility. the University of Nottingham This project offers an exciting opportunity to undertake cutting edge research
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for these architectures. This will also guide hardware design for such devices and tackle crucial challenges in networked systems and entanglement transmission. Candidate’s profile Knowledge of quantum computing and an
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interoperability across complex assets and systems. The research will explore how common data architectures can be used to enhance semantic understanding and enable better decision-making across system-of-systems
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Fields: Open across ten schools covering disciplines such as Engineering, Construction, Computer Science, Law, Business, Arts and Creative Industries, Architecture, Health, and Education Duration: Standard
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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. The School of Architecture, Computing and Engineering (ACE) at the University of East London (UEL) is deeply embedded in London’s dynamic and diverse communities. Known for its innovative, impact-driven
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, and a strong interest in applying advanced physical and computational methods to real-world challenges in energy and environmental technologies. The research will focus on the nano-architecture