EPSRC CASE PhD Studentship

This is a PhD studentship in Optimal Control Strategies in Large-Scale Spatio-Temporal Maritime Systems Using Data-Driven Physics-Informed Machine Learning, to be undertaken at Imperial College London in the Control and Power Research Group, Department of Electrical and Electronic Engineering. The studentship is funded by an EPSRC CASE award with industrial partner Andrew Moore & Associates, a leading global maritime consultancy. The project aims to optimise sensor and actuator placement in large-scale spatio-temporal systems such as bulk grain transport and oil spill management to minimise uncertainty and achieve specific control objectives by integrating feedback control with advanced data-driven and physics-informed approaches. The student will work closely with staff at Andrew Moore & Associates and benefit from mentoring and supervision of their staff, including a secondment at their Sheffield premises. The project will be supervised by Prof. Eric Kerrigan (Professor of Control and Optimization, Imperial College London) and Dr Bryn Jones (Consulting Scientist, Andrew Moore & Associates). The research will develop proficiency in optimisation techniques, data assimilation, high-fidelity simulation tools, feedback control systems, and uncertainty quantification, with opportunities for collaboration with industry partners.