Fully funded PhD studentship: deep extreme value learning for landslide tail risk. Apply by 13 January 2027.
Ms Chenxi (Maxine) Hua, a fourth-year student at the School of Engineering, Mathematics and Physics, University of Kent, United Kingdom. Research topic: modern change point detection methods, with applications in finance, health and medical imaging (EPSRC studentship, since September 2023).
Ms Ruoxue (Roxy) Duan, a third-year student at the School of Science, Loughborough University, United Kingdom. Research topic: AI methods for predicting carbon emissions from public transport (CSC studentship, since October 2024).
Mr Rongkai (Roy) Li, a third-year student at the School of Science, Loughborough University, United Kingdom. Research topic: advanced machine learning for sports injury prevention using wearable technology data (CSC studentship, since October 2024).
Mr Abu Talha, a third-year student at the Computer Science and Engineering Department, Indian Institute of Technology Bhilai, India. Research topic: modern AI techniques for credit card fraud detection and fintech (since September 2023).
Mr Lewis Dang, a third-year Economics and Management student at Loughborough University.
Dr Akarsh K Nair (PDRA, Nottingham Trent University).
Mr Matthew Thomas, then a third-year Mathematics and Economics student at Loughborough University (Research Assistant from Feb 2025 to Jul 2026). Current position: MSc student in Statistics at the University of Warwick.
Ms Nayla Ruiz Salfity, a third-year Mathematical Sciences student at Loughborough University (EPSRC internship from Jun 2026 to Sep 2026).
Dr Sa (Sarah) Ren, PhD (2018-2022). Current position: NIHR Research Fellow in Statistics, School of Medicine and Population Health, University of Sheffield (Thesis Topic: Inferring Network Structures Using Hierarchical Exponential Random Graph Models)
I am currently recruiting a fully funded PhD student on deep extreme value learning for landslide tail risk (UKRI NERC i-Risk Doctoral Focal Award, starting October 2027, apply by 13 January 2027). Prospective students and academic visitors interested in quantile and extreme-value methods, survival analysis, or trustworthy AI for health and risk are welcome to email p.liu4@lboro.ac.uk.