Applied AI Research Fellow – Subsurface Energy

The University of Glasgow invites applications for a Research Fellow in Applied AI for the Energy Transition within the James Watt School of Engineering. The post is full-time (35 hours per week) with UKRI-funded funding until 2029 and focuses on physics-informed machine learning for subsurface characterization to support offshore renewable energy projects.

The successful candidate will work in an interdisciplinary team of engineers, data scientists and geophysicists, exploring uncertainty

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