Stergios-Aristoteles Mitoulis

Fully funded PhD opportunity at University College London (UCL) in the area of AI, digital twins, generative AI, and sustainable buildings. This studentship, associated with the UCL Centre for Global Infrastructure Resilience and The Bartlett School of Sustainable Construction, will explore how advanced data-driven methods can support residential building retrofits, improve energy efficiency, and strengthen the resilience and sustainability of homes and communities. The project, titled EnergyEye, offers 4 years of funding and access to 3D datasets covering more than 15,000 homes. It is especially relevant to candidates with interests in computer science, environmental science, civil engineering, architecture, urban planning, and related built-environment fields. The research sits at the intersection of AI, digital twins, infrastructure resilience, decarbonisation, and sustainable housing. The opportunity is co-supervised by Professor Stergios-Aristoteles Mitoulis and Professor Qiuchen Lu at UCL. The post is explicitly advertised as a fully funded PhD opening, and the deadline stated in the announcement is 8 January 2027. Interested candidates should follow the application link in the post and consult the linked UCL studentship page for full instructions and eligibility details.