Sort by
Refine Your Search
-
sector. Contrary to current kerosene aircraft, the hydrogen fuel can’t be simply stored within the existing primary structure of the wings but require dedicated tanks. The use of pumps could generate
-
. Experimental validation will be used to refine simulation accuracy and ultimately establish a reliable toolset for testing and developing fusion-relevant materials. Cranfield University is internationally
-
solutions, focusing on integrity assurance for safety-critical applications. It addresses the growing need for cognitive navigation systems that are able to operate reliably with a diversity of dedicated
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
significantly increase the reliability, durability and longevity of the space satellite structures. The student will get an opportunity to present the research paper at one international conference. The student
-
. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
-
uncertainty and dynamic conditions. In complex electronic systems, ensuring reliability and minimizing downtime are critical challenges. AI-driven fault diagnosis and self-healing electronics offer innovative
-
, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
-
on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
-
supported by collaborations with industry giants including Boeing, Rolls-Royce, Thales, and UKRI, this research offers a unique platform to contribute to the advancement of secure, reliable, and transparent