PhD in Energy Analytics: Battery Storage & Grid Integration Program

29 April 2019

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. 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.

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.

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.

Eligibility

This scholarship is available to 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. The ideal candidate
will have a background in all or some of the following:
- Machine learning and statistics
- Power system operation and the integration of renewables into the electricity grid
- Modelling and simulation in power systems
- Optimization and control with application to power systems
- Programming tools such as Python, Julia, etc.

The candidate should also have excellent written and spoken English, with an ability to present results
in technical reports, and prepare scientific papers for publication in international journals

For further information or to apply, please contact marnie.shaw@anu.edu.au.

All applications should include the following documents, combined into a single PDF file.

Applications close on May 10th, 2019.
1. Copies of transcripts for your previous degrees
2. A cover letter outlining why you are interested in this PhD project
3. A current curriculum vitae (CV), and the names of two referees
4. A Research Statement outlining a related research problem and how it might be investigated
(max. 800 words).

The PhD is supported by a tax-free scholarship of AUD $27,596 per annum for three years and
with international relocation assistance of up to AUD $3,000. Full details on applying to study in
the PhD program at the ANU can be found here: https://www.anu.edu.au/study/apply

Updated:  15 February 2021/Responsible Officer:  College of Science/Page Contact:  https://iceds.anu.edu.au/contact