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aerodynamics will continue to be an important aspect including the improvement of fundamental understanding of complex flow physics as well as advancing aerodynamic methods for industrial design. The overall
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to support condition-based predictive maintenance for gas turbine engines. Cranfield has developed unique physics-based technologies on gas turbine performance simulations, diagnostics, prognostics and lifing
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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with a background in mechanical, aeronautical, automotive, civil / industrial and/or software engineering (or similar) and/or mathematics and/or physics. The ideal candidate will have a solid background
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of these complex designs will need advanced measurements from early development to flight testing. Optical sensing can provide high-resolution data to understand the underlying physics, potentially reducing
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, academia, government, and policy. The interview process is composed of two interviews. Following a first introductory interview (20min), a second online (or face to face if preferred) interview will be
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industry, academia, government, and policy. The interview process is composed of two interviews. Following a first introductory interview (20min), a second online (or face to face if preferred) interview
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support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example
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models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the aforementioned different
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development, entrepreneurship, and the patenting process, further enhancing their career prospects in both academic and industry settings.