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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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addressed this problem through non-intrusive particle image velocimetry (PIV) to measure the unsteady velocity field. This provides an increase in spatial resolution of about 2 orders of magnitude relative
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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resilience across the industry. At the end of the project the successful applicant will be very well positioned to have a highly successful career in the water sector or in an academic role. We will help you
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contribute to a more efficient use of GAC, therefore reducing carbon footprint and OPEX, and increasing sustainability. At the end of the project the successful applicant will be very well positioned to have a
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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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position may be filled before the stated deadline.
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive