PhD Studentship in AI-Powered Uncertainty-Aware Adaptive Methods for Property Risk Assessment Loughborough University in United Kingdom

PhD studentship at Loughborough University in AI-powered uncertainty-aware adaptive methods for property risk assessment, linked to climate change adaptation and disaster resilience.

The project develops novel AI, machine learning, and computer vision methods for property risk assessment under climate- and disaster-related hazards. It focuses on uncertainty-aware multimodal data fusion, decision-theoretic data acquisition, and adaptive risk estimation using distributed digital data sources and satellite observations.

Study area keywords: Computer Science, Environmental Science, Civil Engineering, Architecture, Statistics.

Funding: Fully funded PhD studentship for UK and international applicants, funded by NERC and the i-Risk CDT. Full-time duration is 3.5 years.

Eligibility: Applicants should have or expect to shortly graduate with at least a UK 2:1 honours degree or equivalent international qualification in a relevant subject. EU and overseas applicants should normally meet IELTS 6.5 overall with 6.0 in each component, unless a language-test waiver or equivalent evidence applies.

Supervisors: Primary supervisor Baihua Li; secondary supervisor Huili Chen.

Deadline: 9 June 2026. Start date: October 2026.

Application: Apply online via the Loughborough University project page and upload the required personal statement, CV, transcripts, and degree certificates.