University of Southampton
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PhD in Ammonia-Fuelled Internal Combustion Engines: Tribology, Wear and Friction University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project.
Deadline
Jul 31, 2027
Country
United Kingdom
University
University of Southampton

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About this position
University of Southampton is advertising a PhD project on ammonia-fuelled internal combustion engines, with a specific focus on how ammonia affects wear and friction in tribological contacts.
This project sits at the intersection of mechanical engineering, materials science, chemical engineering, and physics. The research will examine ammonia–lubricant–surface interactions under realistic engine conditions, including the effects of lubricant formulations, engineering materials, coatings, and operating parameters on durability, corrosion, scuffing, and tribofilm behaviour.
You will work with advanced experimental and analytical techniques such as FTIR, SEM/EDS, Raman, XPS, ToF-SIMS, profilometry, and possibly FIB cross-sectioning. The project also includes data-driven modelling and physics-informed machine learning, aiming to produce validated predictive tools and practical guidance for robust lubricant–surface combinations in ammonia-compatible engines.
Funding: competition funded. Degree: Doctor of Philosophy. Entry requirement: 2:1 honours degree. Deadline: 31 July 2027.
The project is based at the University of Southampton in the United Kingdom. Applicants interested in sustainable engineering, tribology, lubricant chemistry, surface engineering, and net-zero propulsion should review the full project page and apply through the university’s postgraduate research application route.
Funding details
Competition funded PhD project.
What's required
Applicants should have a 2:1 honours degree. The project is suited to candidates interested in tribology, lubricant chemistry, surface engineering, materials characterisation, and data-driven modelling; experience with experimental methods and/or machine learning would be beneficial.
How to apply
Review the project details and full entry requirements on the University of Southampton page, then use the How to apply section to submit an application before the closing date. Contact the project team if you need clarification on suitability or funding.
More information can be found here
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