PhD in Engineering

The goal of this PhD is to develop the mathematical, computational and algorithmic foundations for using future information as a first-class variable in modelling, simulation, optimisation, and autonomous control. This includes: formulating non-causal scientific computing, where future constraints influence PDE solving, operator learning, and multi-physics simulation; building non-causal observers and controllers for autonomous systems that anticipate forthcoming disturbances and environmental structures; constructing multi-modal non-causal representations that integrate simulation, sensing, remote imagery and physics-based priors. Marine systems—such as flexible wave energy converters, autonomous surface vessels, and digital-ocean sensing networks—provide a rich and physically grounded testbed where future wave and current fields significantly affect stability, power capture, navigation and overall system performance. The project offers a strong balance of theoretical development and applied experimentation, depending on the student's interests.