PhD project in Energy Analytics: Battery Storage and Grid Integration Program

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Description

PhD project in Energy Analytics: Battery Storage and Grid Integration Program

This fully-funded PhD project will involve the development of software/algorithms for the analysis of energy data.

Our energy systems are becoming increasingly dependent on data, analytics and cloud-orchestrated controls (e.g. internet-of-things). These new technologies will bring opportunities to manage our personal energy use (i.e. demand response), including home automation and local management/coordination of rooftop solar PV, battery storage systems and electric vehicles.

The PhD student will be a member of Battery Storage and Grid Integration Program, a new research initiative based in the Research School of Electrical, Energy and Materials Engineering (RSEEME) at the Australian National University. Our team is revolutionising the way renewable energy and energy storage technology is integrated into the electricity grid. The projects we are working on are all focused on increasing our reliance on renewable energy and using energy storage to increase the reliability of our electricity grid, while reducing energy costs for consumers. 

For further information or to apply, please send the following documents to Dr Marnie Shaw: marnie.shaw@anu.edu.au. Applications close on May 10th, 2019

  1. Copies of transcripts for your previous degrees
  2. A letter outlining why you are interested in this PhD project
  3. A current curriculum vitae (CV), and names of two referees

 

The PhD is supported by a scholarship of $27,596 per annum for three years. Full details on applying to study in the PhD program at the ANU can be found here: https://www.anu.edu.au/study/apply

 

Goals

This project will involve working with our company partner - Wattwatchers – to help build an ‘energy data hub’ to develop new analytic technologies for energy data. Specifically, the PhD candidate will be developing software/algorithms for the analysis of energy data, to generate insights that are most useful for both customers as well as network and market operators.

 

Requirements

This scholarship is available to potential and current students who can gain admission to a PhD or Professional Doctorate by Research program at the ANU; and have a Bachelor degree with first-class honours, or a Master degree with a research component or equivalent from a recognised university.

 

Keywords

energy, data, analytics, demand response

 

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing