46 phd-position-in-information-retrieval PhD positions at Cranfield University in United Kingdom
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there is a growing revenue from EPSRC, TSB and EU funded work. At a glance Application deadlineOngoing Award type(s)PhD Duration of award3 years EligibilityEU, Rest of world Reference numberCRAN1141 Entry
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Multiple self-funded PhD positions are available in Modelling and Simulation (M&S). The project will aim to mature software repositories describing the biomechanics of the human brain. The M&S tools
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, including optimisation of the number/position/type of hardware. Cranfield overview and Sponsor Information/Background: We have a long history in space systems, having undertaken space studies since the 1960s
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This is a self-funded opportunity relying on Computational Fluid Dynamics (CFD) and wind tunnel testing to further the design of porous airfoils with superior aerodynamic efficiency. Building
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to validate the computational tools, explore the intake flow distortion, and provide guidance on the design of future intake/fan configurations. This position is part of the CDT in Net Zero Aviation, which
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knowledge co-evolution and addressing complex challenges in a super-intelligent society. This project is situated within the rapidly evolving field of Cyber-Physical-Social Systems (CPSS), which is of
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This studentship is open to both UK and International applications. This is a self funded PhD opportunity. Find out more about tuition fees. Cranfield Doctoral Network Research students at Cranfield benefit from
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solutions where improved knowledge of the aero-engine characteristics will be a key consideration. The overall aim of this PhD is to explore novel measurement methods that can improve the assessment of aero
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, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens