Publisher
source

University of Warwick

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PhD Studentship in Digital Twin Development for Smart Sustainable Steel Section Production University of Warwick in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD studentship through the DigitalMetals CDT. The post is described as a PhD studentship; no stipend amount or tuition details are stated in the post.

Deadline

Feb 28, 2027

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Country

United Kingdom

University

University of Warwick

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Keywords

Computer Science
Mechanical Engineering
Materials Science
Industrial Engineering
Digital Twin Technology
Finite Element Analysis
ML

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About this position

PhD Studentship: Development of a Digital Twin for Smart Sustainable Steel Section Production

This PhD studentship is based at the University of Warwick in the United Kingdom, within the Advanced Steel Research Centre at WMG. The project sits with the Digital Twins team and focuses on building a digital twin for steel section production, combining empirical modelling, finite element analysis, and machine learning to predict microstructural evolution and mechanical properties across the steelmaking process.

The research aims to help steel producers respond to live production conditions, optimise process parameters, improve product performance, reduce reject and downgrade rates, and support sustainability goals in a sector facing rising energy costs and greater feedstock variability. The work will use real-world mill data such as temperature and rolling loads, together with existing models developed by the Advanced Steel Research Group, to create a cohesive through-process framework.

The successful PhD candidate will develop the architecture, robustness, and limitations of the combined modelling framework and help implement it in an industrial setting. The project includes a placement with an industry partner, with timing and duration agreed by all parties.

Funding: DigitalMetals CDT funded studentship. No stipend amount or tuition coverage details are stated in the post.

Deadline: 28 February 2027.

How to apply: Use the jobs.ac.uk application link provided in the post and submit your application before the deadline. Review the project page carefully for any additional instructions or eligibility details.

Funding details

Funded PhD studentship through the DigitalMetals CDT. The post is described as a PhD studentship; no stipend amount or tuition details are stated in the post.

What's required

Motivated and talented PhD candidate with interest in digital twins, modelling, machine learning, finite element analysis, and industrial steel processing. The project expects the successful candidate to work with live mill data and industry partners, and to define the architecture, robustness, and limitations of the modelling framework. A placement with the industrial partner is included, with timing and duration agreed by all parties.

How to apply

Apply via the jobs.ac.uk application page linked in the post. Review the project details and submit your application through the portal before the deadline.

More information can be found here

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