PhD Studentship in Fibre Optics and AI for Volcano Monitoring
Develop automated workflows combining Distributed Acoustic Sensing and machine learning for volcano monitoring.
Best for:Best for candidates with a geophysics or related background seeking to apply machine learning and signal processing to volcanology.
Overview
This PhD studentship focuses on leveraging advanced Distributed Acoustic Sensing (DAS) and machine learning techniques to monitor volcanic activity and seismic events. Part of the NERC Large Grant Expecting the Unexpected (Ex-X), the project involves processing continuous subsea fibre-optic cable data around St Vincent to detect and characterise volcanic unrest. The successful candidate will work within the School of Environmental Sciences at the University of East Anglia, collaborating with regional seismic networks and undertaking fieldwork. The project offers comprehensive training in seismology, geophysics, and operational software development for geohazard monitoring.
What you'll do
- Develop automated data-processing workflows for continuous Distributed Acoustic Sensing (DAS) measurements.
- Apply machine learning and signal-processing techniques to detect, classify, and characterise seismic events.
- Integrate DAS observations with permanent seismic networks and dense nodal deployments.
- Calculate improved earthquake locations and perform ambient-noise imaging to examine subsurface structures.
- Conduct fieldwork in St Vincent to maintain and service the DAS installation.
Requirements
Degree required: BSc or equivalent degree in geophysics or a related discipline
Degree offered: PhD
Language: English
Instruction: English
- Interest in geohazards and interdisciplinary research
- Strong foundation in geophysics, physics, or a related scientific discipline
- UKRI eligibility criteria apply for fully-funded studentships
- Limited studentships available for international applicants with fee waivers for the international fee difference
Funding & terms
How to apply
Deadline: 2026-12-16
Submit your application through the official university postgraduate research application portal. Ensure all required documentation and reference materials are provided prior to the stated deadline.
- CV
- Transcripts
- Cover letter
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.