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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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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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Environmental Protection Agency (EPA) Project “Noise 2050” 3 × Fully-Funded PhD Scholarships (4 years, expected start: autumn 2025 — flexible) The EPA-funded Noise 2050 project will forecast
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gained will enhance the understanding of AM variability, thus enabling a safer application of metal AM technology. During this project, the PhD candidate will 1)establish an ultrasonic vibration testing
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
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the environmental noise sources, aerofoil noise is one of the major contributors, including noise from aircraft wing, aeroengine fan and wind turbines. Therefore, it is crucial to effectively reduce them for a quiet
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In practice, there are two main Challenges: (i) Robust extraction of DSF for continuous monitoring which are insensitive to EOVs. These DSF should be interpretable during the entire evolution of the structural performance, and they should be able to accommodate dimensionality and complexity...
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) change tread pattern (or tread groove depth), ii) aerodynamics by changing the surface texture of sidewall, iii) noise cancelling (vibration), iv) mechanical properties (hardness). Resources: The PhD
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The Faculty of Engineering, Department Industriële ingenieurswetenschappen, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate
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About the Project Join the School of Physics and Astronomy at the University of Birmingham for groundbreaking PhD research that aims to improve the knowledge of biological macromolecules