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aerodynamics PhD Projects, Programs & Scholarships

We have 12 aerodynamics PhD Projects, Programs & Scholarships

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We have 12 aerodynamics PhD Projects, Programs & Scholarships

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Aerodynamics of close running and connected and autonomous vehicles in crosswind conditions

The development of innovative autonomous vehicles (AV) with increased efficiency and low carbon emissions is of interest to many different organisations across the world, at both political, commercial and research levels. Read more

Novel Methods for Rotorcraft Engine Propulsion Integration PhD

Introduction . Cranfield University has been at the forefront of rotorcraft research for the last 13 years, having an established track record on rotorcraft modelling, performance, and propulsion integration. Read more

SCENARIO: The effect of non-neutral winds on wind power aerodynamics (ref. SC2022_28)

According to the UK government, offshore wind is intended to deliver 40GW of by 2030. As our society becomes ever-more dependent on wind power, it is increasingly important to gain a deeper understanding and more accurate predictability of our wind power availability to guarantee a greener future. Read more

SCENARIO: The aerodynamics of skyscrapers: tall building clusters and the urban environment (ref. SC2022_15)

By 2050 our cities will host 68% of the world’s population, compared to the current 54%, and 33% in the 1960s. This increase is often accomplished by the proliferation of tall buildings (TBs) that maximise the provision of housing and commerce using a limited street-level footprint. Read more

Development of Systems Modelling Methods for Aerodynamic Control in Very Low Earth Orbits

Operation of spacecraft in very low Earth orbits (VLEO), those below 450 km in altitude, is generally avoided due to the significantly increased atmospheric density and therefore aerodynamic drag that either requires propulsive compensation or can critically limit the operational lifetime of the satellite. Read more

Reliable AI for solving partial differential equations

In recent years, significant advances in machine learning and data analysis have been achieved which have the potential to transform many areas of engineering, science, and technology, as well as in commerce and public policy. Read more

Data-Driven Analysis for Reducing Turbulence-Generated Noise using High-Fidelity CFD

Applications are invited for a 4-year UK PhD studentship for the project titled “Data-Driven Analysis for Reducing Turbulence Noise using High-Fidelity Computational Fluid Dynamics (CFD)” in the group of Dr Zhong-Nan Wang at the University of Birmingham. Read more
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