38 condition-monitoring-machine-learning PhD positions at University of Nottingham in United-States
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-intrusive alternative to conventional testing methods. However, its performance remains constrained by a reliance on manual configurations, suboptimal test conditions, and limited adaptability to varied
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. At the Rolls-Royce UTC, we have developed advanced robotic systems capable of navigating cramped and hazardous environments, performing inspection tasks, and carrying out active operations such as machining
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with competitive employment packages, discounted access to fitness and health facilities, a generous holiday allowance and an attractive pension scheme; visit the Your Benefits website to learn more
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of GAGs Are confident working with complex data Enjoy learning beyond your current expertise with the support of our excellent interdisciplinary team Eligibility Start date: 1 October 2025 Open to
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Masters degree (or expected to gain a Masters within 6 months). The ideal candidate will also have experience of working with healthcare professionals, patients with mental health conditions; and research
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to changing environmental conditions for improved efficiency in renewable energy systems. To design the novel, multi-material printing strategies to develop tuneable energy devices. To evaluate the real-world
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for a student with HOME (UK) status. This would be at a stipend of £20,780 per year The University actively supports equality, diversity and inclusion and encourages applications from all sections
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the marks received to date. Any offer is conditional upon achieving the required standard. 2 academic references. English language test result if English is not your first language. Entry onto our PhD