PhD in Hybrid Physics Informed Machine Learning For Multi Vector Energy System Optimisation (PhD)

Applications for the Sep 2026 intake are due by Aug 31, 2026. Tuition is 24,433 USD per year.

Supervised by Dr Shamsul Masum, Dr Anton Hettiarachchige Don, and Dr Edward Smart, this PhD will focus on the development of constrained neural network architectures incorporating energy system fundamentals. The project aims to tackle the complexities of multi-vector energy systems, integrating electricity, heat, gas, and hydrogen vectors alongside intermittent renewables, demanding advanced modelling and control approaches that operate in real-time whilst maintaining physical plausibility. Traditional physics-based models provide rigorous guarantees but struggle with computational tractability, whereas pure data-driven artificial intelligence methods lack interpretability. This research bridges this gap by proposing hybrid approaches combining both paradigms.

Key aspects of the research include a comprehensive literature review on physics-informed machine learning, multi-vector energy modelling, and hybrid optimisation techniques. The work will involve the implementation of hybrid models using deep learning frameworks and optimisation libraries. Comparative benchmarking against conventional approaches under diverse operational scenarios will be conducted, along with validation studies assessing model interpretability, constraint satisfaction, and generalisation performance.

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.