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Field
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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of a vibrational Non-Destructive Testing (NDT) approach that leverage AI to assess metal parts after the printing process. In this PhD position you will combine mechanics, data science, AI, and
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friction governs nonlinear vibration and damping in assembled structures. Job description Many high-performance structures, from spacecraft to offshore structures, rely on assembled components
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A fully funded 3-year PhD studentship is available from 1st October 2025 in the School of Computer Science and Engineering at Bangor University. The project investigates viral infection in real-time
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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The complex machinery structures are usually subjected to dynamic loading, which can cause high vibration levels. The vibration levels occurring during the resonance vibrations, when the vibration
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limits to oscillator noise levels, and the ability to coherently observe radar targets for periods of time never possible until now. The challenge is to understand how to derive distributed radar signal
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PhD Studentship: Population-Based Indirect Damage Detection System for Railway Bridges The UK’s railway bridge asset stock represents over 80% well-aged (>50 years) infrastructure, often carrying
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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initiated by oscillations and vortex-induced vibrations. The long-term survivability of dSPCs in the highly energetic seas targeted for deployment is a concern to engineers and investors. An additional