Research Assistant in Geophysical Granular Flow Simulation

This post is full time and fixed term for up to 12 months

The James Watt School of Engineering is looking for a Research Assistant in Geophysical Granular Flow Simulation to contribute to a project on landslide and debris flow modelling and simulation, working with Professor Jin Sun and relevant research collaborators in a wide range of disciplines.

This one-year Research Assistant position is part of a project aimed at advancing the modelling and simulation of landslides and debris flows using state-of-the-art continuum fluid dynamics approaches. Landslides are complex, gravity-driven flows that exhibit both solid-like and fluid-like behaviour, and their accurate prediction is essential for natural-hazard assessment and risk mitigation. The project will focus on developing and implementing continuum models that capture the key physical processes governing initiation, mobility, and runout of granular and debris-laden flows. The successful candidate will work with nonlinear partial differential equations, constitutive modelling, and numerical methods to simulate large-scale mass-movement events, with the aim of improving our understanding of flow behaviour across different environmental conditions.

The role will involve designing and running numerical simulations, analysing results, and contributing to the development of improved rheological and constitutive models for geophysical mass flows. The Research Assistant will also have the opportunity to collaborate with a multidisciplinary team working on geomechanics, fluid dynamics, and natural-hazard modelling.

Ideally applicants should hold, or be close to completing, a PhD in fluid dynamics, geophysical or environmental flows, continuum mechanics, computational physics, or a closely related field. A strong background in fluid dynamics is essential, and expertise in data-driven fluid mechanics or experimental fluid mechanics is especially welcome. Strong skills in numerical simulation, scientific computing, and mathematical modelling are essential. This position offers an excellent opportunity for an early-career researcher to develop expertise in hazard-modelling research while contributing to methods that support real-world risk reduction. The successful candidate will also be expected to contribute to the formulation and submission of research publications and research proposals as well as help manage and direct this complex and challenging project as opportunities arises.

For informal enquiries or further information about the project, please contact Professor Jin Sun (Jin.Sun@glasgow.ac.uk)

For more information on the University of Glasgow’s James Watt School of Engineering, please visit www.gla.ac.uk/schools/engineering

For more information and to apply online: www.jobs.gla.ac.uk/job/research-assistant-in-geophysical-granular-flow-simulation-5751846

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