Mel Devine, PhD,
Assistant Professor,
College of Business,
Energy Institute,
University College Dublin,
Belfield, Dublin 4,
Ireland
https://people.ucd.ie/mel.devine
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Job description:
Mathematical Modelling of Electricity Markets.
Mathematical models are often used to simulate future electricity markets. Such models provide insights and analysis into how to best address issues surrounding carbon emissions and consumer costs. However, there are several models suitable for modelling electricity markets, such as least-cost optimisation, game theory, and bi-level optimisation.
This project will revolve around the general theme of modelling electricity markets. It will study different types of models with the aim of finding a suitable model for the Irish system. Knowledge of electricity systems is not an essential requirement for this position. However, the successful applicant should have a background and interest in Operations Research\ Mathematical Modelling in addition to experience in coding.
This position is part of the NexSys (Next Generation Energy Systems) project, a multidisciplinary research program.
Mandatory:
• PhD (completed or soon to be completed) in Operations Research, Mathematics, Economics, Engineering, Data Science, Computer Science or a related field
• Strong background and experience in mathematical\quantitative modelling
• A demonstrated commitment to research and publications
• An understanding of the operational requirements for a successful research project
• Evidence of research activity (publications, conference presentations, awards) and future scholarly output (working papers, research proposals, and ability to outline a research project.
• Evidence of research activity (publications, conference presentations, awards) and future scholarly output (working papers, research proposals, and experience of writing a funding application).
• Excellent Communication Skills (Oral, Written , Presentation etc)
• Excellent Organisational and Administrative skills including a proven ability to work to deadlines
• Candidates must demonstrate an awareness of equality, diversity and inclusion agenda.
Desirable:
•Experience in optimisation and/or operations research