To answer research questions surrounding climate change, effective modelling of future energy markets is required. Such models provide insights from planning, operations, and regulatory perspectives. Energy suppliers use them to gain insights on possible trading strategies while policymakers use them to analyse consumer costs and carbon emissions.
Energy market modelling is an interdisciplinary field covering areas such as mathematics, statistics, economics, finance, and engineering. This PhD project will revolve around the general theme of energy market modelling. Topics could include (but are not limited to) the following:
- Optimisation (Integer, linear, non-linear programming)
- Equilibrium modelling
- Stochastic modelling
- Game\decision theory
- Risk modelling
Prospective applicants should have strong quantitative modelling skills and evidence of research (e.g., dissertation or final year project). Applications are welcome from those with a background in either mathematics, statistics, economics, finance, or engineering (or similar fields). In addition, candidates should have strong communication and interpersonal skills.
Funding is available for the above or for a related PhD project. For further details please contact: Dr. Mel Devine (firstname.lastname@example.org)
Stipend: €18,000 per annum. In addition, funds are available for research costs and fees (for both EU and non-EU applicants) are covered.
To apply, please forward a cover letter and CV (max 2 pages for each) to email@example.com before 1-Mar-2022. Considerations of applications will continue on an ongoing basis until the position is filled.
Mel Devine, PhD,
Ad Astra Fellow and Assistant Professor,
College of Business,
University College Dublin,
Imperial College London
September 01, 2022
King’s College London
King's College Hospital, Denmark Hill, London, UK
October 01, 2022
Lancaster University, Bailrigg, Lancaster, UK
October 01, 2022