PhD: ML-Driven Materials for Fusion Structural Integrity

NPL in the UK seeks a senior researcher to advance machine learning and NLP methods for structural integrity assessment in fusion-relevant materials. The role combines experimental work with ML to predict material performance and extend component lifetimes.

Based across University of Surrey, Guildford, and NPL in Teddington, this post involves working with DSIT, accessing national datasets, and delivering scalable, transferable ML approaches for engineering challenges.

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