Sandra Piazolo

This funded PhD opportunity at the University of Leeds, in partnership with the British Antarctic Survey, investigates how viscous anisotropy influences ice sheet dynamics and future sea-level rise, using innovative low carbon footprint techniques such as modelling and remote sensing. The project is part of the Net Zero Polar Science Doctoral Training Partnership (NZPS DTP), which aims to advance polar science in a net zero world. Ice sheets, particularly in Antarctica, are projected to be major contributors to future global sea-level rise. The Thwaites Glacier alone could add up to 65 cm to global sea levels if it collapses. Predicting these changes requires a deep understanding of ice sheet flow, which is affected by the alignment of ice crystal axes—known as viscous anisotropy. This phenomenon means ice can deform much more easily in certain directions, and its evolution is coupled with changes in crystal orientation (fabric). Current ice-sheet models often neglect this physics, assuming isotropic viscosity and fixed values, which can lead to significant uncertainties in sea-level rise predictions, especially in rapidly retreating regions. This project aims to close this knowledge gap by quantifying the impact of viscous anisotropy on ice sheet flow and improving predictions of sea-level rise. The student will use advanced ice-sheet models and newly available fabric data from airborne radar surveys, which offer broader spatial coverage than traditional ice core data. By integrating these observations, the project will refine models of fabric evolution and viscous anisotropy, making them more reliable and widely applicable in ice-sheet modelling. A key aspect of the research is to compare the carbon footprint of traditional ice core drilling programs with alternative remote sensing approaches. The project will assess how remote sensing can reduce the environmental impact of data gathering in polar science, supporting net zero objectives. Research objectives include: understanding how changes in crystal orientation affect Antarctic ice dynamics and sea-level rise; using new radar survey data to improve physical models of fabric evolution; investigating numerical approximations for viscous anisotropy; and evaluating the complexity needed for accurate ice sheet flow modelling in a changing climate. The net zero case study will explore how field campaigns can be scaled down by leveraging remote sensing data. Training opportunities are extensive, including collaboration with the British Antarctic Survey, hands-on experience in remote sensing and large data analysis, geophysical dataset analysis, training in ice deformation physics, numerical modelling using hybrid approaches, and modern computing tools with institutional support in cloud computing. Applicants should hold a first or upper second class honours degree (or equivalent) in mathematics, physics, geoscience, or a closely related subject. A relevant master's qualification or equivalent professional experience is also accepted. Candidates must demonstrate high numeracy, coding skills, and an interest in interdisciplinary research and green skills development. International and non-English speaking applicants must meet minimum language requirements for admission. Funding is available for Home/UK and international (including EU) students, subject to quality assurance and UKVI compliance. The studentship includes a full stipend at UKRI rates (£20,780 per year for 2025/26), full tuition fees, and an annual Research Training and Support Grant (RTSG). Part-time studentships are available for Home applicants. Additional costs may apply for international students. To apply, contact Prof Sandra Piazolo ([email protected]) for informal enquiries. Complete the online NZPS Application Form by 09:00 GMT on 12th January 2026 and submit any additional documents to [email protected]. For further details, visit the NZPS DTP website.