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This research opportunity invites self-funded PhD candidates to develop advanced deblurring techniques for retinal images using deep learning and variational methods. Retinal images often suffer
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This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
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-engine performance. The research will focus on the measurement of massflow and velocity profiles using non-intrusive acoustic velocimetry. The project will include the development of a test rig and
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, urban intelligence, and education, ultimately enhancing service delivery and quality. Cranfield University provides an ideal setting for this research, offering cutting-edge resources and expertise in
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We are pleased to announce PhD studentship project in “Advanced Composites Development for Hyper-velocity Impact Protection of Space Satellites Structures”. This is an exciting PhD research
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of manufacturing research. The Through-life Engineering Services (TES) Centre are among the world leaders in through-life approaches for high value systems, Condition monitoring, Damage tolerance, Asset management
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. The student will have the opportunity to work with experts in the data analytics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University
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integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research
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performance degradations and unwarranted system failures can occur. There is certain physical information known a priori in such aerospace platform operations. The main research hypothesis to be tested in