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University College London

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PhD Studentship in Multi-Length-Scale Characterisation of Critical Materials for Optimised Extraction and Recycling University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 30, 2026

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Chemistry
Mechanical Engineering
Chemical Engineering
Materials Science
Artificial Intelligence
Imaging Science
Process Engineering
Earth Science
Material Characterization
Image Reconstruction
Ct Imaging
Physics

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About this position

PhD Studentship at University College London (UCL), Department of Chemical Engineering

This funded PhD project focuses on the multi-length-scale characterisation of critical materials for optimised extraction and recycling. The research sits at the intersection of chemical engineering, materials science, physics, mechanical engineering, and computer science, with a strong emphasis on advanced imaging and data-driven analysis.

The project will use X-ray computed tomography, correlative microscopy, and related imaging methods to study the internal structure, chemistry, and evolution of critical materials from both primary sources and end-of-life products. The aim is to understand how microstructure governs extraction and recovery behaviour, and to develop quantitative descriptors that can support more efficient, lower-impact processing routes. The project also includes the potential use of AI for image recognition and reconstruction.

The studentship is supervised by Dr Francesco Iacoviello and Dr Vassilis Charitopoulos at UCL. The work is based in London, United Kingdom, with access to UCL’s advanced imaging facilities and possible beamtime at national synchrotron and large-scale facilities.

Funding: Fully funded for 4 years, with a stipend of about £23,805 per year plus UK fees. Overseas applicants may apply if they can cover the difference between UK and overseas tuition fees.

Eligibility: Applicants should hold or expect to obtain a first-class MEng or MSc (or equivalent). Relevant backgrounds include Chemical Engineering, Materials Science, Mechanical Engineering, Physics/Applied Physics, Chemistry, Earth Sciences, and related interdisciplinary STEM fields. Experience with tomography, electron microscopy, image analysis, programming, or mineral/battery systems is welcome but not required.

How to apply: Submit an application through the UCL eVision portal. Nominate Dr Francesco Iacoviello as supervisor and include a statement of interest. Informal enquiries can be sent to [email protected].

Deadline: 30 July 2026.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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