Department of Earth Sciences, South Parks Road, Oxford The Department of Earth Sciences are seeking a highly motivated and skilled researcher responsible for conducting a comprehensive retrospective analysis of volcanic seismicity across Costa Rica’s volcanic arc using state-of-the-art deep learning techniques and modern seismological processing workflows, reporting to Dr Sacha Lapins. This role offers an exciting opportunity to process multi-year continuous seismic datasets from Costa Rica’s National Seismological Network (Red Sismológica Nacional; RSN) creating enhanced earthquake catalogues that will illuminate subsurface volcanic, tectonic and geothermal processes along the volcanic arc, inform future field deployments, and serve as benchmarks for the development of new deep learning methods for volcanic seismicity. About you The successful postholder will hold a PhD/DPhil in geophysics, Earth sciences, or a closely related field. The ideal candidate will have proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be comfortable working with large geophysical datasets, managing projects independently, and collaborating with international partners. Excellent communication skills (both written and oral) are essential, along with the ability to meet deadlines and produce publishable research. Experience with deep learning applications in seismology, using high performance computing (HPC) environments, field experience with seismic instrumentation deployment, as well as familiarity with seismic signal processing techniques, such as phase arrival picking, phase association, earthquake location and relative relocation, are desirable attributes but not essential. This is a 24-month fixed term post from February 2026 or as soon as possible thereafter. For full details of the role please see the job description.