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PhD Studentship - EPSRC - Predicting the Performance of Recycled HDPE for Sustainable Bottle Packaging

The University of Manchester - Materials

Qualification Type: PhD
Location: Manchester
Funding for: UK Students
Funding amount: Not Specified
Hours: Full Time
Placed On: 17th June 2026
Closes: 20th August 2026

How to apply: uom.link/pgr-apply-2425

This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026.

High-density polyethylene (HDPE) is widely used in rigid bottle packaging because it is lightweight, tough and chemically resistant. Increasing the use of post-consumer recyclate in these applications is an important route to reducing the use of virgin fossil-derived plastic. However, recycled HDPE grades can vary substantially because of differences in the grade composition, contamination and degradation during mechanical recycling, which alters polymer architecture. As a result, it becomes difficult to predict whether a given recycled grade will perform reliably in lightweight bottles.

This PhD will build on existing research at The University of Manchester on the data-driven analysis of HDPE post-consumer recyclates. The project will move beyond simple classification of recycled materials and will ask whether measurable descriptors of rHDPE can be used to predict performance across processing history, repeated recycling and bottle-relevant failure conditions.

The project is expected to involve a combination of experimental polymer science and data analysis with the view to building a model to explain how changes to the polymer architecture influence the processing and application performance. Experimental work may include polymer processing, repeated mechanical recycling, FTIR spectroscopy, thermal analysis, rheology, colour analysis, tensile testing, strain-hardening measurements and environmental stress cracking-related testing. Data analysis will be used to identify relationships between polymer structure, contamination, processing history and performance. Finally, this body of knowledge will be used to build a model to explain the relationships between the polymer structure, processing and performance.

The precise direction of the project will be shaped by the student’s interests, the emerging results and discussions with the industrial partner. The overall goal is to develop a scientifically robust framework for predicting the performance of recycled HDPE in high-recycled-content bottle packaging.

Training and research environment

The student will join a research group working across sustainable polymers, plastic recycling, polymer characterisation and data-driven materials analysis. The project will provide training in polymer processing, mechanical testing, thermal analysis, rheology, spectroscopy, experimental design and multivariate data analysis.

The student will also gain experience of collaborative research with an industrial partner. This will include regular project meetings and opportunities to understand how materials decisions are made in a commercial packaging context. The project is therefore well suited to an applicant who wants to develop strong fundamental materials science skills while working on a problem with clear environmental and industrial relevance.

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

This studentship is only open to UK nationals, and the application process may close before the listed end date based on the strength of applications. Therefore we would strongly suggest you apply urgently.

To apply, please email your CV (providing details of your current level of study, academic background and any relevant experience) to the main supervisor, Dr Thomas McDonald - thomas.mcdonald@manchester.ac.uk, and include a paragraph about your motivation to study this PhD project.

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