PhD Studentship in AI and Energy Modelling: The University of Limerick invites applications for a fully funded PhD Studentship within the School of Engineering and the Bernal Institute. This full-time doctoral position focuses on applying Artificial Intelligence, interoperability, and semantic web technologies to support advanced energy modelling of future building stock. The project contributes to national-scale digital twin development aimed at decarbonisation, climate resilience, and data-driven energy policy decision-making. The PhD will commence from May 2026 under the supervision of Professor James O’Donnell.
PhD Studentship in AI and Energy Modelling for Future Building Stock
Designation
PhD Student (Doctoral Researcher)
Research Area
- Artificial Intelligence (AI)
- Semantic Web Technologies
- Reasoning and Interoperability
- Energy Modelling and Energy Informatics
- Building Energy Efficiency
- Energy and Indoor Environmental Monitoring
- Techno-Economic Modelling
- Climate and Energy Policy Analysis
Location
University of Limerick
School of Engineering & Bernal Institute
Castletroy, Limerick, Ireland
V94 T9PX
Eligibility / Qualification
- A strong academic background in Engineering, Computer Science, Energy Systems, Data Science, or a related discipline
- Minimum qualification equivalent to a First Class or Upper Second Class Honours degree (or Master’s degree preferred)
- Knowledge or interest in AI, data-driven modelling, energy systems, or digital twins
- Strong analytical, programming, and problem-solving skills
- Excellent written and verbal communication skills in English
Job Description
The successful candidate will work on the project “AI and Interoperable Methods to Support Energy Modeling of the Future Building Stock.” The research will contribute to the development of a national-scale digital twin of the built environment in Ireland.
Key responsibilities include:
- Developing AI-enabled and interoperable energy modelling frameworks
- Integrating white-box, grey-box, and black-box energy models across multiple scales
- Supporting data-driven decision-making for energy efficiency and climate resilience
- Analysing future energy renovation strategies and policy scenarios
- Collaborating with interdisciplinary teams across academia, industry, and policy stakeholders
How to Apply
Interested candidates should submit their application via the Google Form provided by the University of Limerick.
- Supervisor & General Enquiries:
Prof. James O’Donnell
📧 Email: james.odonnell@ul.ie
Last Date for Apply
Open now
