PhD in Data Driven Spatial Models Of Human Societies (phd)

Applications for the Sep 2026 intake are open until Aug 31, 2026, while the tuition fee is 24,433 USD per year.

Based in the School of Mathematics and Physics, the PhD programme in Data Driven Spatial Models of Human Societies involves searching for features from society's output signal (online news, social media, government health, social and economic data) using techniques from statistical learning. It aims to construct models for the evolution of these measurable features, inspired by classical models of statistical physics, with the work supervised by Dr James Burridge.

University of Portsmouth, established in 1869 and located in the historic coastal city of Portsmouth, offers a vibrant student experience with around 28,000 students, including approximately 5,000 international learners. The university combines strong teaching and research with practical industry links and a waterfront location that enriches campus life. Its long history of technical and professional education makes it a familiar choice for students seeking applied learning in a city with excellent transport links.

Portsmouth provides a range of programs organized across ten broad subject areas, encompassing engineering, business, health professions, creative arts and sciences. Students benefit from industry placements, modern laboratories and career-focused modules that enhance employability. The university also supports research-led teaching and partnerships with local employers, giving international students opportunities to gain real-world experience alongside academic study.

Comprehensive support services help international students with visas, accommodation, language preparation and wellbeing, while student societies and campus activities foster social integration. With practical training options, placement support and access to regional industries and cultural sites, Portsmouth is well suited to students who value both academic quality and hands-on experience. Prospective applicants should investigate program specifics, placement opportunities and scholarship options before applying.