FindAPhD Weekly PhD Newsletter | JOIN NOW FindAPhD Weekly PhD Newsletter | JOIN NOW

Building structure-function models for polymers by combining robotics and machine learning

   Department of Chemistry

This project is no longer listed on and may not be available.

Click here to search for PhD studentship opportunities
  Prof A I Cooper  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

This opportunity will remain open until the position has been filled and so early applications are encouraged.

A fully funded PhD studentship is available in the area of computational and polymer chemistry, to work in a team of scientists funded by the EPSRC Prosperity Partnership ‘Cleaner Futures (Next-Generation Sustainable Materials for Consumer Products)’. The Prosperity Partnership is a collaboration between Unilever, the University of Liverpool and the University of Oxford. This new partnership will address how to achieve the UK Government's 2019 target of Net-Zero by 2050, through disruptive innovation in the current chemical supply chain.

In this project, you will develop computational methods to predict structure-property relationships of polymers based on experimental data obtained from automated/ robotic high-throughput screening performed by another PhD student. You will work in close collaboration with polymer chemists at the University of Oxford who will advise on selection of materials and with computational chemists in Liverpool who will assist with creating the computational methods. Your role will be to design, program and run the computational predictions.

The project will be based in the materials discovery research group led by Prof. Andy Cooper ( The project will also have access to unique facilities in the state-of-the-art Materials Innovation Factory at the University of Liverpool ( You will be part of a multi-disciplinary team which includes collaborators at the University of Oxford and Unilever. Through these collaborations, you will interact with computational chemists, synthetic chemists, and also engineers and computer scientists developing the use of robots in the materials chemistry laboratory.

We are looking for candidates with an enthusiasm for research, multidisciplinary collaboration and tackling challenging problems through teamwork. Experience in computational and polymer chemistry would be an advantage, as well as programming skills.

The position is available from 1st October 2022.

Entry Requirements

Applicants should hold, or expect to obtain, a good degree (equivalent to a UK first or upper second class) in chemistry, materials science or a related discipline.

If you wish to discuss any details of the project informally, please contact either Andy Cooper (email: [Email Address Removed]).

To apply for this opportunity, please visit: and click on the 'Ready to apply? Apply online' button. Please include Curriculum Vitae, Two reference letters, Degree Transcripts to date. Please ensure you quote the following reference on your application: Reference CCPR037 Building structure-function models for polymers by combining robotics and machine learning.

Funding Notes

Applications from candidates meeting the eligibility requirements of the EPSRC are welcome – please refer to EPSRC website:
The award will pay full tuition fees and a maintenance grant for 3.5 years. The maintenance grant will be at the UKRI rate, currently £15,609.00 per annum for 2021-22, subject to possible increase . The award will pay full home tuition fees and a maintenance grant for 3.5 years. Non-UK applicants may have to contribute to the higher non-UK tuition fees.
PhD saved successfully
View saved PhDs