About the project
Ship model testing is expensive and time consuming. Can we derive hydrodynamic seakeeping and manoeuvring characteristics with focused datasets, eliminating time consuming single variable investigations?
In this PhD program you will develop and test novel methodologies to extract ship hydrodynamic characteristics from a focused set of tests. This may include techniques such as machine learning. You will benefit from the use of world class facilities including the 138x6x3.5m University of Southampton Boldrewood towing tank and 120x60x5m QinetiQ Ocean Basin. In addition, support, advice and guidance from industrial partners and the PhD supervisors (Dr Bowker*, Dr Townsend and Prof Hudson).
The research, exploring the cyber-physical domain for enhanced hydrodynamic test and evaluation, ambition is to disrupt conventional approaches and accelerate research and development cycles.
The PhD candidate will be based in the Maritime Engineering group at the University of Southampton. You will have access to a large array of facilities, networking opportunities and training throughout the program. Motivated candidates with knowledge or interest in any of the following: hydrodynamics, maritime engineering, experimentation, mechatronics and machine learning techniques are strongly encouraged to apply.
