AI-Driven Geophysics Researcher for Offshore Wind

Economics Network; Glasgow; Hybrid; GBP 41.000 - 46.000; Vollzeit

Zusammenfassung

University of Glasgow is seeking a Research Associate in Intelligent Geophysics for Offshore Wind within the James Watt School of Engineering. The role is funded by a UKRI Fellowship and focuses on AI-driven subsurface characterisation using marine geophysical data, with collaboration across an interdisciplinary team of engineers, geophysicists and data scientists.

The postholder will lead processing and integration of large offshore datasets, addressing geological variability, uncertainty and

Qualifikationen

• Experience in geophysics data processing and interpretation.
• Awareness of AI/ML methods advantageous but not essential.
• Ability to work in an interdisciplinary team.

Aufgaben

• Lead processing, interpretation and integration of marine geophysical datasets.
• Collaborate with engineers, geophysicists and data scientists on AI-driven subsurface characterisation.
• Develop approaches to address uncertainty and geohazards in offshore sites.

Kenntnisse

Geophysics data analysis

AI / ML

Jobbeschreibung

University of Glasgow is seeking a Research Associate in Intelligent Geophysics for Offshore Wind within the James Watt School of Engineering. The role is funded by a UKRI Fellowship and focuses on AI-driven subsurface characterisation using marine geophysical data, with collaboration across an interdisciplinary team of engineers, geophysicists and data scientists.

The postholder will lead processing and integration of large offshore datasets, addressing geological variability, uncertainty and