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methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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hydrogen close to its boiling point. Regenerative pumps have the ability to handle two-phase flow and work at low flow off-design conditions and are an ideal candidate to be part of an overall liquid
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automotive and motorsport courses at master’s level, and engaging in academic research and commercial consultancy. Interests are wide-ranging from mechanics and materials through to computer vision and self
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performance simulation capabilities for gas turbine engines developed at Cranfield University as the starting point. Applications are invited for a PhD studentship in the Centre for Propulsion and Thermal Power
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Master’s degree (must be completed by the time of the start of the PhD Award). A demonstrated background in aerospace dynamic models, control theory, radar signal processing and/or reinforcement learning