University of Leeds Featured PhD Programmes
European Molecular Biology Laboratory (Heidelberg) Featured PhD Programmes

Automated screening processes for the development of sustainable surface treatments (ICASE Studentship in partnership with Unilever)

Department of Chemistry

About the Project

This opportunity will remain open until the position has been filled.

Understanding the structure and properties of substrates such as textiles, and the changes they undergo, is a vital component in developing treatments to improve their resilience and longevity. The Waste and Resources Action Programme (WRAP) recently estimated that producing 1 kg of cotton uses up to 20000 litres of water, and that in the UK alone, 300000 tonnes of clothes go to landfill annually.

This project will focus on developing automated processes to characterise the structure and properties of a variety of surfaces to provide a foundation for predicting a material’s behaviour from a series of physical measurements. This has the potential to accelerate the development of effective and sustainable surface treatments.

The studentship will be hosted at the Materials Innovation Factory (MIF) at the University of Liverpool under the supervision of Dr. Sam Chong and in collaboration with Unilever who are co-located in the MIF. The project offers the opportunity to develop experience of an extensive variety of analytical methods and lab automation available in the MIF, and skills in data science. The project will also involve collaborators, including in the Department of Chemistry and Stephenson Institute for Renewable Energy. This is an exciting project that offers the opportunity of working in the rapidly developing research area of lab automation, with an industrially-relevant and sustainability-focused application.

Qualifications: Applications are welcomed from students with a 2:1 or higher masters degree or equivalent in chemistry or related area, particularly those with some of the skills directly relevant to the project outlined above. Previous experience of any of the following would be an advantage: a programming language (Python or similar preferred), XRD, SAXS.

To apply, please visit:

Funding Notes

This studentship is open to UK students (full award – fees plus stipend) and EU students (fees only).

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