Machine learning methods for modelling and optimising CO2 heat pumps

About the Project

Heat represents nearly half of the world's energy consumption and contributes to almost 40% of energy-related greenhouse gas emissions. Meeting the goal of net-zero emissions by 2050 requires the installation of approximately 600 million heat pumps annually by 2030. Heat pumps using CO2 as refrigerant will have a pivotal role to play in heat decarbonisation.

The optimization of operational strategies for CO2 heat pumps through advanced computational methodologies represents a pioneering endeavour in the realm of sustainable heating and cooling technologies. CO2 heat pumps, utilizing carbon dioxide as a refrigerant, offer significant advantages in terms of environmental impact and energy efficiency compared to traditional systems. However, unlocking their full potential requires precise control and optimization of operational parameters. By leveraging advanced computational methodologies this project aims to enhance the operational strategies of CO2 heat pumps across a broader operating range for greener and more sustainable heating/cooling applications.

We are offering a PhD opportunity focused on applying machine learning methods to develop optimal operational strategies for trans-critical CO2 heat pumps. This project is based within the Department of Mechanical and Aerospace Engineering.

The student will have a great opportunity to collaborate with our industry partner isentra Ltd (https://www.isentra.net) to have access to their substantial dataset of operational parameters from real heat pump for model validation and optimisation.

We want all of our staff and Students to feel that Liverpool is an inclusive and welcoming environment that actively celebrates and encourages diversity. We are committed to working with students to make all reasonable project adaptations including supporting those with caring responsibilities, disabilities or other personal circumstances. For example, If you have a disability you may be entitled to a Disabled Students Allowance on top of your studentship to help cover the costs of any additional support that a person studying for a doctorate might need as a result.

We believe everyone deserves an excellent education and encourage students from all backgrounds and personal circumstances to apply.

Applicant Eligibility

Candidates will have, or be due to obtain, a Master’s Degree or equivalent from a reputable University in an appropriate field of Engineering. Exceptional candidates with a First Class Bachelor’s Degree in an appropriate field will also be considered.

Application Process

Candidates wishing to apply should complete the University of Liverpool application form to apply for a PhD in Mechanical Engineering

Please review our guide on How to apply for a PhD | Postgraduate research | University of Liverpool carefully and complete the online postgraduate research application form to apply for this PhD project.

Please ensure you include the project title and reference number ENGMAE001 when applying. An interview will be arranged to select the most suitable applicant.

Funding Notes

This University funded Studentship will cover full tuition fees (for 2025-26 this is £5,006 pa.) and pay a maintenance grant for 3.0 years, at the UKRI standard rates (for 2025-26 this is £20,780 pa.) The Studentship also comes with access to additional funding in the form of a Research Training Support Grant to fund consumables, conference attendance, etc.

This studentship is available to any prospective student wishing to apply including both home and international students. While the university’s funding will not cover international fees. International applicants are expected to meet the fee difference.