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PhD in Electrical and Electronic Engineering: Data-driven Industrial Condition Monitoring Award Summary Mid Sweden University and Newcastle University agree to fund a PhD student project for
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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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conditions affect billions of women globally, impacting everything from cardiovascular to mental health. Despite this, women face significant delays in diagnosis and treatment, often experiencing a trial-and
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This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
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aircraft are closely monitored to see if a soot-CCM effect can be predicted. What you would be doing: You will acquire in-situ and remote-sensing data of cirrus forming downwind of flights over the past
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already having a cirrus-modifying effect. If such evidence can be found, the project will expand to an aircraft campaign in which flights with a research aircraft are closely monitored to see if a soot-CCM
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 2 months ago
exclusion chromatography and nuclear magnetic resonance (NMR) spectroscopy to monitor degradation in real time. The PhD research will expand on these findings by investigating the biodegradation of additional
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. The developed new knowledge will assist performance designs, analysis, operations, and condition monitoring of sCO2 power generation systems. The project will be undertaken using the strong thermodynamic
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for long-term monitoring to confirm successful restoration5. This exciting and timely PhD will develop and deploy a range of low-cost and open-source sensors to measure the biophysical properties necessary
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Project title: Transforming Menopause Care through At-Home Hormone Monitoring Department/School: School of Psychology and Clinical Language Sciences Supervisors: Dr Katherine Finlay, Psychology