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encourage early submission, as the position may be filled before the stated deadline.
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
professional and transferable skill development, preparing graduates for careers in aerospace, engineering, and digital innovation. Throughout the PhD, the student will develop a broad set of skills, from
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will enhance their employability, positioning them as highly sought-after professionals in the fields of engineering and digital innovation. Applicants should have a first or second class UK honours
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by 2050, positioning you as an innovative and inclusive leader in sustainable aviation solutions. Hydrogen-based aviation represents a transformative opportunity to drastically reduce the environmental
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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cities of Oxford and Cambridge. Our central location provides easy access from the M1, excellent main line rail service as well as proximity to key international airports. Set in rolling countryside
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to this position. The student will benefit from access to local resources, including Cranfield-based wind tunnels in addition to local and national computing facilities, such as CRESCENT2 and ARCHER2. The expected
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remediation risk management Supervisors At Cranfield we place great importance on supervision and the relationship a student has with his or her supervisor. The relationship is intended to be a stimulating and
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the International Systems Realisation Partnership, as well as potential exposure to travel, conferences, and external training opportunities. The student working on this project will gain a diverse set of
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complimentary computational studies to predict the intake aerodynamic characteristics and aid in the experiment design. This position is part of the CDT in Net Zero Aviation, which offers a modular, cohort-based