This post is full-time (35 hours per week), and has funding available until 30th September 2029 in the first instance.
Applications are invited for the position of Research Associate in Intelligent Geophysics for Offshore Wind at the James Watt School of Engineering.
This position offers a unique opportunity to contribute to a major new UKRI-funded Fellowship at the intersection of artificial intelligence, scientific machine learning and subsurface engineering. The research will address fundamental challenges in the interpretation and integration of marine geophysical, geological and geotechnical data to improve subsurface characterisation and support decision-making throughout the development of offshore renewable energy projects.
The successful candidate will play a leading role in the processing, interpretation and integration of geophysical datasets. The role will involve working with large and complex offshore datasets to develop improved understanding of geological variability, uncertainty and geohazards. Experience in artificial intelligence, machine learning or advanced data analytics is advantageous but not essential. The project will provide opportunities to build expertise in these areas and collaborate with a wider interdisciplinary team of engineers, geophysicists and data scientists exploring new AI-driven approaches to intelligent subsurface characterisation.
Applications from candidates currently working in industry are encouraged. We welcome applicants seeking to bring expertise in offshore site characterisation, marine geophysics and subsurface interpretation into a research environment. Equivalent industrial experience will be considered alongside traditional academic career paths.
The postholder will join an interdisciplinary team led by Dr Róisín Buckley as part of a UKRI-funded Fellowship. The role offers opportunities to collaborate with leading academic and industrial partners, including researchers across the UK AI ecosystem in data science and artificial intelligence. In addition, the postholder will have access to world-class experimental and computational facilities and will play a key role in shaping an ambitious research programme at the interface of geophysics, engineering and AI.
For an informal discussion about the post and research programme, please contact Dr Roisin Buckley on Roisin.Buckley@glasgow.ac.uk.
All applicants must have the right to live and work in the UK or be eligible to obtain permission to work in the UK.
This role may be eligible for sponsorship under the Skilled Worker visa route, subject to meeting the relevant Home Office requirements, including any applicable trade-able points criteria. Further information can be found on the University of Glasgow's UKVI Website.
For research and academic roles, we will also consider whether the Global Talent visa route may be available, subject to individual eligibility.
Closing date: 29th November 2026 at 23:45pm
We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality.
The University of Glasgow, charity number SC004401.
£41,064 to £46,049 per annum (Grade 7)
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Research Associate in Intelligent Geophysics for Offshore Wind in Glasgow employer: Economics Network
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