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Research Associate in Intelligent Geophysics and AI for Offshore Wind University of Glasgow in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a salaried, full-time research associate position at Grade 7, paying £41,064–£46,049 per annum. Funding is available until 30 September 2029 in the first instance. The employment package includes pension, 41 days of leave for full-time staff, benefits and discounts, flexible working, and wellbeing support.
Deadline
Nov 29, 2026
Country
United Kingdom
University
University of Glasgow
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About this position
The University of Glasgow is seeking a Research Associate in Intelligent Geophysics for Offshore Wind to join the James Watt School of Engineering and contribute to a major UKRI-funded Fellowship led by Dr Róisín Buckley.
The project sits at the intersection of artificial intelligence, scientific machine learning, marine geophysics and subsurface engineering. It addresses fundamental challenges in interpreting and integrating marine geophysical, geological and geotechnical data to improve subsurface characterisation and support decision-making throughout offshore renewable energy development.
The successful researcher will take a leading role in processing, interpreting and integrating large, complex offshore datasets. Their work will develop improved understanding of geological variability, uncertainty and geohazards relevant to offshore site characterisation. The role also offers the opportunity to build expertise in AI, machine learning and advanced data analytics while contributing to new AI-driven approaches to intelligent subsurface characterisation.
The postholder will work within an interdisciplinary team of engineers, geophysicists and data scientists, collaborating with academic and industrial partners and researchers across the UK’s artificial-intelligence ecosystem. The position provides access to world-class experimental and computational facilities and the opportunity to help shape an ambitious research programme connecting geophysics, engineering and AI.
Applicants from industry are encouraged, particularly those bringing experience in offshore site characterisation, marine geophysics or subsurface interpretation into a research environment. The role also includes opportunities to develop research collaborations, publish internationally, contribute to research impact, mentor students and colleagues, and participate in relevant teaching activities.
Funding details
This is a salaried, full-time research associate position at Grade 7, paying £41,064–£46,049 per annum. Funding is available until 30 September 2029 in the first instance. The employment package includes pension, 41 days of leave for full-time staff, benefits and discounts, flexible working, and wellbeing support.
What's required
Normally a PhD or equivalent professional qualifications and experience in geophysics, geoscience or a related discipline, with an emerging record of independence. Applicants should have current knowledge of relevant research issues, demonstrable expertise in geophysical data interpretation, and experience managing, integrating and interpreting geophysical datasets. Essential requirements include strong oral and written communication, a developing research-output record, experience supporting colleagues and supervising research, effective organisation, commitment to open research, experience contributing to funding or equivalent business-development applications, and the ability to plan and progress work independently. Desirable experience includes marine geophysical data interpretation and integration for offshore site characterisation, artificial intelligence, machine learning or advanced data analytics in the geosciences, research impact activities, and higher-education teaching and assessment. Applicants must have the right to live and work in the UK or be eligible to obtain permission to work in the UK.
How to apply
Apply through the University of Glasgow jobs page using the “Apply Now” button for reference 210874 before 29 November 2026 at 23:45. Ensure that your application demonstrates the required qualifications, geophysical-data expertise and relevant research experience.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.