Digitalisation of Energy Systems

We are recruiting highly self-motivated PhD candidates in the fields of digitalisation of energy systems, energy systems modelling and optimisation, and renewable energy integration. Emerging smart grid technologies including artificial intelligence, distributed ledger, and data analytics drive the decarbonisation of energy systems with the least costs. The digitalisation of modern power grids enables large volumes of data to be exploited for assisting accurate prediction, strategic planning, smart control, and massive trading in energy systems.

Prospective research topics include, but are not limited to: i) Energy system long-term planning and short-term operational control; ii) Analysis of decision making and interaction among stakeholders in energy systems, e.g., policy makers, generators, and consumers through using optimisation, game theory, or agent-based modelling; iii) Energy data analytics through using machine learning; iv) Energy policy, economics and market design.

Requirements:

1. Applications are open to students that have a 1st class degree (or equivalent) or a master degree in a wide variety of scientific disciplines including Electrical Engineering, Environmental Engineering, Control Engineering, and Computer Science.

2. Applicants whose first language is not English will be required to demonstrate proficiency in the English language (IELTS 6.5 or equivalent).

3. Good programming skill, e.g., Python, Matlab, or Java, etc, and academic writting skill are necessary for this project.

How to apply:

Those interested should send a CV, personal statement (outlining how their relevant experience would make them a strong candidate for the project), transcripts, and contact details of two referees to w.hua@bham.ac.uk