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PhD in Computational Fracture Mechanics: Methods, Programming and Simulation School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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. However practical engineering and environmental flows are generally much more complex than these canonical flows, involving significant ‘non-equilibrium’ processes, which remain very challenging to predict
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will be validated using the experimental findings and the outcome will be used to develop a more robust manufacturing approach for complex parts for aerospace applications. Previous experience
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the desulphurizing process and to achieve energy savings and increased contaminant destruction. Computational modelling will be performed to assess the oxy-acid gas reaction processes involving multiple chemical
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year round Details Pregnancy is a challenging process to model and replicate due to the complex physiological changes and adaptations. Much is yet to be learnt about pregnancy and why it could go wrong
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year round Details This research is aimed at developing scalable Bayesian approaches able to solve complex and high dimensional problems with multiple objects and multi-sensor data. One such problem is
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Application Deadline: Applications accepted all year round Details Computational Wind Engineering has been developed rapidly over the last decades. Among the numerical techniques, Large Eddy Simulation (LES) is
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of the system is within the set at some time, then it is guaranteed to remain within the set for all future times. Therefore, being able to characterize and compute these sets is of prime importance when
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. Most physical systems are inherently nonlinear, exhibiting very rich dynamical behaviour, such as chaotic ‘’strange” attractors, local (rather than global) stability, complex limit cycles, etc