Chao Long

Fully funded PhD opportunity in Machine Learning for Community Energy Management at the University of Liverpool in a four-year dual PhD programme with National Tsing Hua University, Taiwan . The project focuses on developing machine learning methods to coordinate solar PV , batteries , and electric vehicles in community energy systems . The student will spend about two years at each university, gaining experience across the UK and Taiwan. Funding includes tuition fee coverage , a UKRI-rate stipend while in Liverpool (£21,805 per year from October 2026), and NT$15,000 per month while in Taiwan. This is a Home-fee studentship , so applicants must be eligible for UK Home-fee status . Preferred background: an MSc in electrical engineering , energy systems , computer science , or a related field, with interest in machine learning . To apply, email your CV and a brief statement of research interests to [email protected] .