Dr Burigede Liu

Dr Burigede Liu is Granta Design Associate Professor in Mechanics and Materials at the University of Cambridge, Department of Engineering. His research interests include data-driven mechanics, uncertainty quantification of materials, micro-mechanics of metals, composites, and mechanical meta-materials, as well as function space learning methods. Dr Liu's group offers a fully funded PhD studentship for research in data-driven and physics-informed learning of multi-scale mechanics. The studentship covers university fees and provides a stipend of £14,830 per annum for three years.

Burigede Liu is a Granta Design Associate Professor at the University of Cambridge, specializing in solid mechanics, deep learning, and uncertainty quantification. Their research focuses on developing advanced computational methods for solving partial differential equations (PDEs) using neural operators, integrating physics-informed learning approaches. Liu's work explores the application of deep learning to multiscale modeling, chaotic dynamics, and materials science, with an emphasis on learning complex physical phenomena from data. Their publications highlight the use of Fourier neural operators, graph neural networks, and multiscale modeling techniques to address challenges in solid mechanics and materials design.