PhD Machine Enabled Predictive Learning In Organisations And Supply Chains

Tuition fees are 19,237 GBP per year; the application deadline for the Apr 2027 intake is Jan 17, 2027.

Guided by Dr Huijing Chen, Dr Adele Bezuidenhout, and Dr Aamir Amin, the focus is on algorithms, data, and contexts and their interplay, aligning with the company’s strategy. The project will investigate which forecasting methods are most suitable for supply chain management, the types of data useful for predictive analytics, and how AI can help organisations understand and navigate complex contexts. Additionally, the programme will explore human-AI complementarity when Machine Learning drives human learning in supply chains.

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.