Applications are open for Funded Scholarship at Swansea University. The complex large-scale dynamical system often has a vast number of degrees of freedom. Additionally, It is not possible to model the system sufficiently quickly to predict behaviors in real time. Further, This project will extract effective data to construct a fast model using deep learning methods.
Moreover, The proposed PhD project offers the unique opportunity to develop a data-driven reduced order model (ROM) using deep learning methods. It provides a fast way of performing computationally intensive tasks with real-time speed for fluids problem. The proposed new ROM is constructed from a number of simulations representing different parameters such as a different initial or boundary conditions. Further, The deep learning methods are used to extract features from those simulations. Also, after constructing the ROM, it is able to run the simulations with several orders of magnitude speedup. Apart from PhD scholarship, They also provide Scholarships at Swansea University for management studies.
Specializations for studying on this opportunity
First Step: To apply, please complete and submit the following documents