PhD Deep Learning Models For Health Informatics

Tuition costs 17,900 GBP per year, while the application deadline for the Sep 2027 intake is Aug 31, 2027.

Data analytics and preprocessing of datasets are key activities in this PhD project, supervised by Dr Ivan Jordanov, in the School of Computing. You'll investigate Deep Learning approaches for solving problems in health informatics, designing and testing models on real-world datasets, particularly in the context of health, health monitoring, and healthcare multimodal datasets. This project aims to understand the mechanisms behind the success of Deep Learning methodologies, designing suitable neural network architectures and topologies, and addressing data quality issues.

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.