PhD in Related Discipline

This project focusses on the development of a next-generation high-fidelity topology optimisation (TopOpt) framework for thermofluid systems. It aims to advance simulation-driven design tools to automatically generate complex flow and heat transfer structures with superior performance to conventional designs. Topology optimisation has shown great promise in structural mechanics and is now rapidly emerging as a powerful tool in thermal-fluid applications. The goal of this research is to extend and enhance an existing thermofluid TopOpt platform to handle multi-objective performance criteria, manufacturing constraints, and large-scale computational domains relevant to real-world energy and cooling systems. This project will involve developing and testing advanced algorithms capable of capturing key flow and heat transport behaviours within a robust optimisation loop. You will work with high-fidelity numerical solvers for fluid flow and heat transfer, integrated with automatic differentiation and scalable optimisation techniques, all within a high-performance computing environment. You will develop and apply advanced simulation tools to design next-generation thermal-fluid systems for energy and transport applications. You will work at the intersection of fluid dynamics, heat transfer, and computational design. You will gain expertise in computational fluid dynamics (CFD), optimisation algorithms, numerical methods, and high-performance simulation tools. You will also have opportunities to collaborate with other researchers in fluid mechanics and thermal system design.