Sarah Boulton
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Funded PhD in Earthquake-Triggered Landslides and Regolith Processes University of Plymouth in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD opportunity; described as a CASE project with industry partner AECOM and collaboration with the University of Padua. The post does not specify stipend amount, tuition coverage, or other financial details.
Deadline
Dec 16, 2026
Country
United Kingdom
University
University of Plymouth

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About this position
Funded PhD opportunity at the University of Plymouth in the Centre for Research in Natural Hazards and Risk Reduction.
The project is titled “Revealing the Regolith: Investigating how subsurface conditions influence earthquake-triggered landslides” and focuses on geohazards, landslides, earthquake-triggered slope failure, regolith, GIS/remote sensing, computer modelling (using Landlab), and cosmogenic nuclide analysis.
The PhD includes fieldwork in the Italian Apennines and is a CASE project with AECOM, in collaboration with Filippo Catani at the University of Padua. The post says the successful candidate will gain a range of field, laboratory, data analysis, and coding skills, alongside transferable skills useful for careers in research and industry.
Supervisory team: Sarah Boulton, Martin Stokes, and Suryodoy Ghoshal at the University of Plymouth, with collaboration from Filippo Catani (University of Padua).
Funding: funded PhD opportunity; no stipend or tuition details are given in the post.
Deadline: 16 December 2026.
How to apply: use the application link in the post and follow the linked advert. The post also mentions scanning the QR code for more information.
Funding details
Funded PhD opportunity; described as a CASE project with industry partner AECOM and collaboration with the University of Padua. The post does not specify stipend amount, tuition coverage, or other financial details.
What's required
Applicants should be early career researchers/PhD candidates interested in geohazards, landslides, natural hazards, GIS/remote sensing, fieldwork, computer modelling, and cosmogenic nuclide analysis. The post highlights development of field, laboratory, data analysis, and coding skills; no specific degree, GPA, or language requirements are stated in the post.
How to apply
Open the application link provided in the post and follow the linked opportunity page. Scan the QR code if needed for the full advert and application instructions. Submit before 16 December 2026.
More information can be found here
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