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Machine Learning and Corrosion Scientist

university of leeds • United Kingdom
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop Machine Learning methodologies and protocols for bio-feedstock corrosion management. Work with industry partners to create fundamental understanding and reliable corrosion prediction tools. Focus on Machine Learning, AI, and optimisation tools for bio-feedstock corrosion management.

Key Highlights
Develop Machine Learning methodologies and protocols for bio-feedstock corrosion management
Work with industry partners to create fundamental understanding and reliable corrosion prediction tools
Focus on Machine Learning, AI, and optimisation tools for bio-feedstock corrosion management

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Key Responsibilities
Develop a range of Machine Learning, AI and optimisation tools and methodologies for bio-feedstock corrosion management
Accommodate new chemistries and material combinations and predict material performance (corrosion rates, lifespan, operating limits) in refinery operations
Develop adaptive experimental sampling methods

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Technical Skills Required
Machine Learning Corrosion Numerical Modelling

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Benefits & Perks
26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom
Generous pension scheme options plus life assurance
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym

Job Description

There are strong economic, environmental, regulatory and geopolitical drivers to replace petroleum-based feedstocks with renewable, bio-based feedstocks in the production of fuel. However, bio-feedstocks have significantly different chemistries than crude oil that may accelerate the corrosion of refinery infrastructure, requiring the development of new knowledge, experimental and theoretical methods to corrosion management. Sponsored by bp and working with an internationally leading team from Imperial College, London (ICL), University College, London (UCL) and the University of Illinois, Urbana-Champaign (UIUC), this project aims to create the fundamental understanding and reliable corrosion prediction tools needed to accelerate the uptake of bio-feedstocks.
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Job Overview
Posted Apr 24, 2026
Employment Full-time
Experience Entry level
Location United Kingdom
Category Machine Learning
Company university of leeds
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