Prof Sun Jin he/him

I am passionate about understanding how granular materials—such as sand, grains, or volcanic debris—flow and transition between solid-like and fluid-like states. These materials are ubiquitous in nature and industry, yet their behaviour often challenges conventional models. My research focuses on developing fundamental, predictive rheological models through a combination of continuum theory, discrete element method (DEM) simulations, and collaboration with experimental and field researchers.

In my group, we investigate the mechanics of granular flows across a wide range of regimes, from dense creeping flows to high-speed avalanches. We apply our work to geophysical problems like pyroclastic flows and submarine landslides, as well as to industrial processes involving powders and pastes. We aim to understand how grain-scale interactions generate macroscopic flow laws, with interests in flow instabilities, anisotropy, and transient behaviours.

I welcome interdisciplinary collaborations that bridge engineering, geoscience, and applied mathematics. Within a CDT, I would be excited to co-supervise projects in areas such as data-driven modelling of complex flows, DEM–LBM coupling for suspensions, or AI-informed rheological model discovery. I’m also open to student-led ideas that align with improving our understanding of particulate systems.

As a supervisor, I provide a structured yet flexible research environment, supporting students to develop independence, critical thinking, and confidence. I have co-supervised MEng and PhD projects, with students progressing to postdoctoral research, academic positions, industrial R&D, and modelling roles in engineering sectors.

Equity, diversity, and inclusion are central to my academic ethos. I strive to create a research environment where all students feel respected and supported, regardless of background. I actively mentor underrepresented students and promote inclusive recruitment and supervision practices.

Outside of work, I enjoy exploring nature—often with my family—which continually renews my curiosity about natural materials and landscapes. This connection inspires my research and reminds me that science, at its best, is driven by both rigour and wonder.