The University of Leeds – School of Mechanical Engineering in Leeds, UK, invites applications for a fully funded PhD studentship on Machine Learning Driven Corrosion Modelling in Bio‑Feedstock Refining. The project investigates how bio feedstocks affect refinery corrosion and develops data‑driven tools to predict and mitigate it, combining ML with physical chemistry.
You will collaborate with Imperial College London, UCL, UIUC, and BP, progress from statistics to hybrid and physics‑informed
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Leeds
This fully funded PhD studentship at the University of Leeds offers a research opportunity focused on Machine Learning Driven Corrosion Modelling in…
Manchester
This fully funded doctoral research opportunity at the University of Manchester’s Department of Materials invites exceptional candidates to explore…
Newcastle upon Tyne
Newcastle University in Newcastle upon Tyne, United Kingdom, invites applications for a funded PhD Studentship in Machine Learning and Statistics…
Exeter
The University of Exeter is offering a fully funded PhD studentship in Environmental Intelligence, providing an opportunity to engage in…
Liverpool
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