Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Development of proxies for catalytic reactions with high-throughput experimentation and large datasets analysis

   Department of Chemistry

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

Click here to search for PhD studentship opportunities
  Prof M Rosseinsky, Dr J Claridge  Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

An opportunity for a 3.5 year PhD position at the University of Liverpool funded by Johnson Matthey on the development of automated discovery of new catalysts for net-zero chemistry.

Wider context: The discovery of new heterogeneous catalysts with enhanced performance requires the detailed study of multiparameter systems in terms of chemical composition and experimental conditions. The recent development of automated methods in chemical synthesis, characterisation and data analysis can accelerate the discovery of new material allowing study of large compositional spaces at relatively short periods of time. Previous work in collaboration with Johnson Matthey led to the development of new catalysts and understanding of their performance by high-throughput experimentation and automated data analysis.

This PhD studentship will combine high throughput experimental methods in the synthesis and characterisation of catalysts with automated methods of large dataset analysis to accelerate the discovery of new heterogeneous catalysts for transformations critical to the net-zero economy, such as methanol synthesis from CO2 and green hydrogen production. Libraries of catalysts will be prepared following typical reaction methods, such as impregnation and precipitation, which will be implemented using advanced robotic platforms. The characterisation of products will be done in parallel mode using predominantly diffraction, spectroscopy and thermal analysis techniques. These large-scale characterisation measurements will allow the application of data science methods to build models for catalyst performance. This protocol will generate large datasets in short period of time that will be analysed in batch mode to extract structural, compositional and other properties of the materials. The obtained results will be modelled against the catalytic performance (the catalysis tests will be done at Johnson Matthey) of a selected set of catalysts in order to develop a predictive model, which will be further evaluated and refined by catalysis tests on new sets of samples. The proposed approach allows the exploration of large compositional space of catalysts for key catalytic reactions and enables the development of methods and tools that could be implemented to generate proxy protocols for other catalytic reactions of direct interest to Johnson Matthey. As well as obtaining knowledge and experience in materials synthesis, characterisation and data analysis the student will develop skills in teamwork and scientific communication as the researchers within the team work closely together. The position will appeal to candidates with a strong interest in the synthesis of new materials and catalysis, and in the application of data science and automation methods to chemistry.

This is a multi-disciplinary PhD that sits at the interface between Chemistry, Materials Science and Data Science. This project forms part of a larger team including computer scientists working on automated approaches to catalyst discovery. The student will be based in state-of-the-art laboratories in the Materials Innovation Factory ( at the University of Liverpool, as part of the project they will collaborate closely with researchers of Johnson Matthey.

Qualifications: The candidate should have a degree in Chemistry, Materials Science or a related discipline at the high 2:1 or 1st class level.

The studentship is offered for 3.5 years in total, it provides full tuition fees and a stipend of approx. £17,668 full time tax free per year for living costs. The stipend costs quoted are for students starting from 1st October 2022 and will rise slightly each year with inflation.

The funding for this studentship also comes with a budget for research and training expenses, and for those that are eligible, a disabled-students allowance to cover the costs of any additional support that is required.

You will be encouraged to undertake some teaching duties for the department for which you will receive training and payment. You will have the option to work towards and apply for Associate Fellowship of the Higher Education Academy (via the Foundations in Learning & Teaching in Higher Education (FLTHE) programme or the University of Liverpool Teaching Recognition and Accreditation (ULTRA) Framework

For more details: please e-mail Dr Alexandros Katsoulidis [Email Address Removed]

Applying: Please ensure you quote reference CCPR085, and the project title.

Chemistry (6)


Luis Alvarado Rupflin, Hendrik Van Rensburg, Marco Zanella, Elliot J. Carrington, Rebecca Vismara, Alexios Grigoropoulos, Troy D. Manning, John B. Claridge, Alexandros P. Katsoulidis, Robert P. Tooze and Matthew J. Rosseinsky, High-throughput discovery of Hf promotion on the stabilisation of hcp Co and Fischer-Tropsch activity, J. Catalysis, 2021, 396, 315-323
R. Ramos, A. Grigoropoulos, B. L. Griffiths, A. P. Katsoulidis, M. Zanella, T. D. Manning, F. Blanc, J. B. Claridge and M. J. Rosseinsky, Selective conversion of 5-hydroxymethylfurfural to diketone derivatives over Beta zeolite-supported Pd catalysts in water, J. Catalysis, 2019, 375, 224-233
P. Boldrin, J. R. Gallagher, G. B. Combes, D. I. Enache, D. James, P. R. Ellis, G. Kelly, J. B. Claridge and M. J. Rosseinsky, Proxy-based accelerated discovery of Fischer– Tropsch catalysts, Chem. Sci., 2015, 6(2), 935-944
Adam M Tollitt, Rebecca Vismara, Luke M Daniels, Dmytro Antypov, Michael W Gaultois, Alexandros P Katsoulidis, Matthew J Rosseinsky, High-Throughput Discovery of a Rhombohedral Twelve-Connected Zirconium-Based Metal-Organic Framework with Ordered Terephthalate and Fumarate Linkers. Angew. Chem. Int. Ed., 2021, 60 (52), 26939-26946.

Where will I study?

Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

 About the Project