Our Opportunities

PhD Studentship:

Uncertainty Quantification in Aeroelasticity using Reduced Order Models

PhD Studentship:

Recursive reduced order modelling of large scale dynamical systems

Numerical modelling of complex engineering problems has become one of the most important steps in efficient design and analysis of aerospace systems. An example of such systems is the analysis of aerodynamic flows around complete aircraft. With recent advancements in computational resources, computational fluid dynamics has become an attractive approach for modelling these complex flows. However, due to the complexity of the physics and the computational modelling of these large scale dynamical systems, computational costs may be prohibitive. Consequently, predictive models and control schemes that cannot account for or take advantage of efficient algorithms have very limited success. Therefore, the central question posed in this research project is: Can we develop reduced order modelling techniques of large scale dynamical systems, and investigate high Reynolds-number turbulent flows around a flexible airframe? To apply →

Research Fellow

Research Fellow