Research Associate in Decentralised Electricity Market Design and Analytics

at  Imperial College London

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ABOUT THE ROLE

Do you want to lead the change in electricity markets in the UK and internationally? Then, you should consider joining the Analytics & Market Lab at Imperial College, Dyson School of Design Engineering. You will develop the AI-based electricity markets of the future, by focusing on cutting-edge decentralised optimisation and negotiation approaches to be embedded in computationally efficient peer-to-peer and flexibility markets.

WHAT YOU WOULD BE DOING

You will join the Analytics & Market Lab at Imperial College, Dyson School of Design Engineering. The team is led by Prof. Pierre Pinson, with strong interactions with colleagues at the Dyson School of Design Engineering, at Imperial College London (e.g., Electrical Engineering and Computing departments, Business School, etc.), as well as with international partners all over the world. The Analytics & Markets Lab focuses on generating optimal value for society from data. For energy systems, this translates to developing cutting-edge analytical tools to support power system operations and markets. This is a unique opportunity to work with some of the world’s brightest minds within energy analytics, with the aim to solve real-world and high-impact challenges.
That position will give you an opportunity to develop a unique research profile at the interface between optimisation, economics and social aspects of future energy systems. The group has a strong focus on the personal development of junior group members, to prepare them for successful careers in academia and/or industry. You will be given the opportunity to push your novel ideas forward, receive guidance to reach your objectives, while getting time and support for side projects.
You will be mainly involved in the EPSRC project FleXEdge – “Data-Driven Cloud-to-Edge Computing for Scalable Near Real-Time Local Flexibility Markets” (3-year project). FleXedge is led by the University of Oxford, with additional collaborators at the University of Edinburgh and at LIST in Luxembourg (with additional support by FNR, the Luxembourg National Research Fund). You will become the lead contributor to research and development works on AI-based mechanism design (for application to electricity and local flexibility markets), market integration and market participation strategies. This may involve federated and distributed optimisation, decentralised negotiation approaches, as well as mechanism design. You will also help with multi-scale flexibility modelling (from short- to longer-term) and with the proposal and validation of novel and efficient computational approaches.
Besides this main focus, you will generally interact with colleagues involved in the team’s projects, at Imperial College London, in the UK and internationally, e.g., with National ESO and the EPICS global centre (https://energyinstitute.jhu.edu/epics - a US-UK-Australia collaboration).