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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine
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building models (impervious and with openings) capturing loads and pressures on various structural elements, both horizontally and vertically. Integrating experiments with numerical simulations (e.g. CFD
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trajectory tracking, heading control, speed control, path following, disturbance rejection, adaptive control and control allocation for different propulsion layouts. The work will address the challenges
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of avoidance in birds. The PhD will develop an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics
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an aerodynamic bird collision avoidance model, combining computational fluid dynamics (CFD) of the flow around wind turbines with the aerodynamic characteristics of flying birds to predict collision risk. This