The Institute for Energy Systems at the University of Edinburgh invites applications for a PhD studentship in "Next-Generation Electricity Market Modelling for Sustainable Energy Systems." This project offers a unique opportunity to contribute to transformative research in the transition of electricity markets in the UK.
The UK electricity market requires significant reform to meet the demands of a net-zero energy future. This project will look to help provide quantitative evidence to support the design of future electricity markets by developing the next-generation of open-source electricity market models. Model development will ideally build on state-of-the-art tools such as PyPSA for energy system optimisation and AMIRIS for agent-based modelling of market behaviour.
The research will focus on rethinking the UK’s electricity market design, addressing key REMA challenges, including locational signals, promoting investment in renewables, and enhancing system flexibility. By integrating renewable energy, energy storage (e.g., hydrogen production), and demand-side participation into these models, the project aims to optimise market efficiency while supporting the UK’s broader decarbonisation goals.
The candidate will develop a wide range of skills in simulation, optimisation, and data analysis which are widely applicable to future career development. Additionally, there are opportunities for engaging with an open and inclusive community of open-source energy system developers both within IES and globally.
*NOTE: Competitive funding may be applied for if applications are received before the 31st January, 2025 via EPSRC DLA scheme - https://www.ukri.org/news/major-investment-to-support-the-next-generation-of-researchers/
**NOTE: This position will remain open until filled. Early contact is highly recommended.
Further Information:
The University of Edinburgh is committed to equality of opportunity for all its staff and students, and promotes a culture of inclusivity. Please see details here: https://www.ed.ac.uk/equality-diversity
Closing Date:
Principal Supervisor:
Assistant Supervisor:
Eligibility:
Essential background:
- 2.1 or above (or equivalent) in Engineering, Mathematics, Physics, Energy Engineering/Economics, Informatics, or similar
- Programming in Python, Julia or other high-level language
Desirable background:
- Knowledge of energy economics
- Experience of energy system modelling and optimisation
- Data analysis, optimisation and/or machine learning
Further information on English language requirements for EU/Overseas applicants.
Funding:
Applications are welcomed from self-funded students, or students who are applying for scholarships from the University of Edinburgh or elsewhere.
Informal Enquiries:
Dr Andrew Lyden (Andrew.Lyden@ed.ac.uk)
