PhD Studentship – Modelling, Simulation and Optimisation of Integrated Energy Systems

PhD Studentship – Modelling, Simulation and Optimisation of Integrated Energy Systems

University of Leeds
Leeds, United Kingdom

General Description – including all available relevant information of this position
The School of Electronic & Electrical Engineering at the University of Leeds is offering a fully funded PhD studentship dedicated to research on modelling, simulation and optimisation of integrated energy systems. This research opportunity is designed to address critical challenges in transforming energy systems to support global net-zero targets, as renewable generation and low‑carbon technologies are increasingly deployed across multiple energy vectors. The project encompasses a broad exploration of how to model and optimise multi-vector energy systems — including electricity, heating, cooling, gas, hydrogen and transportation — to unlock system flexibility and performance. Research topics range from designing integrated energy hubs and managing coordinated heat and electricity networks, to decarbonisation strategies for regional systems via sectoral coupling. Candidates will also explore system integration for renewable energy and investigate artificial intelligence applications for energy system modelling and analysis. This vibrant research environment provides scope to develop interdisciplinary skills, contribute to cutting‑edge energy transition research and engage with a supportive academic community.

Eligibility Criteria
Applicants should hold, or be expected to achieve, a first class or upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline such as electrical/electronic engineering, computer science, renewable energy engineering, operations research or related fields. The studentship is open to UK, EU and international applicants.

Require expertise, skills
Successful candidates will be research‑motivated and self‑driven, with strong communication and scientific writing skills. Proficiency in English and competency in programming languages such as Python and MATLAB are essential. Experience in energy system modelling and academic research is expected. Preferred skills include evidence of academic writing and peer‑reviewed contributions, ability to work independently and collaboratively in multidisciplinary teams, and excellent analytical and problem‑solving capabilities.

Salary details
The studentship covers full academic fees and provides a tax‑free maintenance grant at the standard UKRI rate (currently £20,780 per year) for 3.5 years.

Application Deadline
The deadline for applications is 27 February 2026.

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