CSIRO iPhD - Responsible AI for smart energy adoption in households
Explore how AI-enabled digital tools can improve both the adoption and day-to-day use of distributed clean-energy systems for Australian households and small businesses.
This project will examine how responsible AI and user-centred digital design can improve trust, understanding and decision quality in clean-energy systems.
Key details
- 20268573
- MRes + PhD
- Domestic
- Business
- $48,000 p.a. (2026 rate)
These clean-energy systems include:
- rooftop solar
- battery storage
- virtual power plant participation.
We will investigate why many users do not adopt these technologies, or do not use them efficiently after adoption, with a focus on behavioural, financial and informational barriers.
Using customer energy-use data, tariff information, weather forecasts and distributed energy system performance data, the project will develop and evaluate machine-learning models to:
- forecast electricity demand and solar generation
- optimise battery charging and load shifting
- generate personalised recommendations for end users.
Availability
This scholarship is available to eligible candidates to undertake a direct-entry four-year MRes + PhD program.
Components
The scholarship comprises:
- a tuition fee offset/scholarship
- a living allowance stipend
- a $13,000 project expense and development package, each year.
The value of each stipend scholarship is approximately $48,000 per annum (full time, indexed) for three or four years, depending on the offer.
How to apply
Before submitting your application, submit an expression of interest to Associate Professor Di Bu at di.bu@mq.edu.au.