About the Project
We will examine questions such as: How can consumers use their smart meter data to minimize their electricity bills? Can utilities exploit smart meter data to minimize their operational costs? How can these new data sources be used to best plan infrastructure investments and ensure future sustainability of the power network? In this way the project will operate across a range of scales and will be of interest to a number of stakeholders in the electricity systems. The project is also highly entrepreneurial in nature.
The project is likely to involve large amounts of programming and data-analysis. Candidates should have a strong interest in data analysis and visualization, as well as in energy and sustainability. Candidates will be expected to develop a strong knowledge of python or another language used in big data analysis and prior experience in one or more of these languages would be useful. A willingness to learn is essential.
How to apply
All applications are made online, please select the school/department name under the programme name section and include the quote reference number.
A relevant Master’s degree and/or experience in one or more of the following will be an advantage: programming, data analysis, python, data visualisation, energy analysis. Applicants who are unsure of their suitability are encouraged to informally contact the primary supervisor.
UK/EU Fee band: Research Band 2 Laboratory Based (£4,327) for 2019/20
International Fee band: Research Band 2 Laboratory Based (£21,100) for 2019/20
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