[100% fees covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs provided.]

PhD Studentship: Strategic Planning for the Integration of AI Data Centres into Energy Networks

Newcastle University is offering a fully funded PhD studentship focused on developing a strategic planning framework for the integration of AI data centres into future energy networks. This project addresses the growing energy demands of data centres driven by digitalisation, artificial intelligence, and cloud computing, and explores their potential role as active participants in integrated energy systems. The research aims to optimise the interactions between data centres and multi-vector energy networks, supporting efficient, low-carbon, and resilient energy system integration.

Research Focus: The project will investigate how AI data centres can contribute to net-zero carbon targets by providing flexibility services, utilising waste heat, and supporting local renewable energy production. The work will involve advanced modelling, optimisation, and strategic planning to create a holistic framework for their integration into evolving energy systems. The research is highly interdisciplinary, drawing on electrical engineering, computer science, and environmental science.

Supervision and Environment: The successful candidate will be supervised by Dr Shahab Dehghan and Prof Vladimir Terzija, both experts in power and energy systems. The project is sponsored by EPSRC and will be based in Newcastle University's renowned School of Engineering, providing access to state-of-the-art facilities and a vibrant research community.

Funding: The studentship covers 100% of tuition fees and provides a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate), with additional project costs supported. This ensures financial security for the duration of the four-year programme.

Eligibility: Applicants should hold at least a 2:1 Honours degree (or international equivalent) in a relevant discipline such as Power and Energy, Electrical Engineering, Computer Science, or Operations Research. Prior research or work experience, enthusiasm, and independent working ability are highly valued. Essential skills include analytical ability and strong communication, with desirable skills in power and energy system modelling, optimisation, and programming (Python, Julia). International applicants must meet English language requirements (IELTS 6.5 overall, minimum 5.5 in all sub-skills) and may require ATAS clearance.

Application Process: Interested candidates should complete the required personal statement document and apply via the Newcastle University portal, selecting Electrical and Electronic Engineering (full time) and entering studentship code DLA2618. The application deadline is 18 February 2026, with the programme starting on 1 October 2026.

Contact: For academic queries, contact Dr Shahab Dehghan at [email protected]. For independent advice, email [email protected].

This opportunity is ideal for candidates passionate about the intersection of AI, energy systems, and sustainability, seeking to contribute to the future of integrated energy networks.