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Martyn McLaggan

4 months ago

PhD in Circular Economy and Fire Safety Engineering of Timber Structures University of Sheffield in United Kingdom

Degree Level

PhD

Field of study

Environmental Science

Funding

No explicit funding details provided. Funding status, stipend amount, and tuition coverage are not mentioned in the post.

Deadline

Expired

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Country

United Kingdom

University

University of Sheffield

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Keywords

Environmental Science
Mechanical Engineering
Civil Engineering
Timber Engineering
Fire Safety Engineering
Circular Economy
Eco-design
Computational Modelling

About this position

A PhD position is available at the University of Sheffield, focusing on the intersection of circular economy and fire safety engineering. The research will investigate the structural fire performance of underutilised local timber and reused timber, aiming to advance sustainable construction practices.

The project includes experimental work on engineered structural timber composites, fundamental characterisation of timber properties under fire conditions, and associated numerical modelling. Supervision will be provided by Martyn McLaggan, Lecturer in Low Carbon Design, and Giacomo Torelli, both affiliated with the School of Mechanical, Aerospace & Civil Engineering. The ideal candidate will have a strong background in civil or mechanical engineering, materials science, or a related field, with an interest in fire safety, sustainability, and experimental research. The start date is September–October 2026, and the application deadline is 15 January 2026.

For more information and to apply, visit the provided link.

Funding details

No explicit funding details provided. Funding status, stipend amount, and tuition coverage are not mentioned in the post.

What's required

Applicants should hold or expect to obtain a first-class or upper second-class degree in civil engineering, mechanical engineering, materials science, or a related discipline. Experience or interest in fire safety engineering, timber structures, experimental work, and numerical modelling is desirable. Strong analytical skills and proficiency in English are required.

How to apply

Visit the provided link for further details and application instructions. Prepare your academic CV and supporting documents. Contact the supervisors for queries. Submit your application before the deadline.

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