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be expected to receive a minimum 2:1 or 1st class degree in aerospace engineering, mechanical engineering, physics or a related engineering discipline. A Masters qualification is an advantage but not
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, data science, or computational modelling and want to collaborate with industry experts, this opportunity is for you! Why Join Us? Work with a leading research team and industry specialists Gain
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to process via advanced manufacturing technologies such as AM as compared to metals. Consequently, their overall carbon footprint is considered to be lower, making them more environmentally friendly
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/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
experts in the field, contributing to a dynamic, research-led environment. This project is sponsored by Rolls-Royce, a global leader in aerospace and defence innovation. The sponsor brings deep domain
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equivalent in a related discipline. Funding This is a self funded opportunity. Find out more about fees here. Diversity and Inclusion at Cranfield We are committed to fostering equity, diversity, and inclusion
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to rural and coastal health research. With £10.9m of funding from Research England, this innovative centre is striving to understand the intersection between place-based deprivation and poorer outcomes
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. Funding This is a self-funded PhD. Find out more about fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and
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PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the