23 systems-engineer-"https:"-"https:"-"https:"-"https:" scholarships at Cranfield University
Sort by
Refine Your Search
-
way offshore assets are monitored and maintained, enabling safer, smarter and more sustainable renewable energy systems. This project sits at the intersection of offshore engineering, digital
-
technologies for sustainable offshore wind systems. The research will combine digital twins, artificial intelligence, predictive maintenance, life cycle assessment and techno-economic analysis to improve the
-
tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
-
Are you interested in shaping the future of zero-emission transport systems? This PhD study, fully funded by the Faraday Institution, facilitates the use of next-generation Lithium-Sulfur (Li-S
-
intersection of aircraft systems design, thermal management, and artificial intelligence/machine learning. It focuses on electrothermal ice protection systems (ETIPS), which prevent hazardous ice
-
community at WAMC, fostering collaboration and innovation. Additionally, there will be opportunities to work with WAMC’s industrial partners, such as WAAM3D ( https://waam3d.com/ ) and members of WAAMMat
-
. Smart grid. Whole systems. AI for energy systems. Carbon capture, utilisation and storage (CCUS). Low-carbon fuels and chemicals. Renewable Energy. Marine Engineering. Energy storage. Waste-to-X and
-
An exciting opportunity to work on an interdisciplinary 4-year PhD studentship, fully funded by EPSRC Industrial Doctorate Link Award (IDLA) in collaboration with BAE Systems, open to Home (UK
-
postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain
-
technologies, predictive modelling and digital control systems create new opportunities to address this problem. By combining real-time measurements of fruit and its environment with models capable of