Research Fellow in Applied AI for the Energy Transition
- Location
- Glasgow, Scotland, United Kingdom
data science, engineering, applied mathematics, physics or a closely related discipline. The successful candidate will undertake research in physics-informed machine learning, uncertainty quantification, predictive modelling and geospatial data integration to improve subsurface characterisation and support decision-making for offshore renewable energy developments. The research will create opportunities … methodological advances in machine learning and uncertainty-aware modelling while addressing important challenges in offshore renewable energy and the net-zero transition. The postholder will join an interdisciplinary team of engineers, data scientists and geophysicists led by Dr Róisín Buckley as part of a UKRI-funded Fellowship. The role ...