CSIRO 
New South Wales, Australia Descrizione del progetto
Funding and duration
four year scholarship package totalling approximately $48,000 per annum tax exempt (2026 rate); four-year scholarship and research training program.
Project overview
Project title
Exploring solar-powered EV charging networks: enhancing coverage, energy security, and privacy.
Project description
This project explores strategies for developing a solar-powered EV charging network that ensures comprehensive coverage across urban and remote regions in Australia. The expected outcome is to enhance energy security, mitigate range anxiety, and protect user data, by leveraging AI-driven data analytics and privacy-preserving mechanisms. The project will potentially provide insights into the feasibility and design of a scalable and sustainable EV charging solution in Australia.
Supervisory team
University
Name of university supervisor | Kaiwen Sun
Name of university | University of New South Wales
Email address | kaiwen.sun@unsw.edu.au
Faculty | Faculty of Engineering
CSIRO
Name of CSIRO supervisor | Wei Shao Ejaz Ahmed
Email address | wei.shao@data61.csiro.au ejaz.ahmed@data61.csiro.au
CSIRO Research Unit | Data61
Industry
Name of industry supervisor | Eric Li
Name of business/organisation | Umax Energy
Email address | eric@umaxenergy.com
Further details
Primary location of student | University of New South Wales, High Street, Kensington NSW 2052, Australia
Industry engagement component location | Umax Energy, Building L, 61-65 Roberts Road, Greenacre NSW 2190, Australia
Other locations | CSIRO Clayton, Research Way, Clayton VIC 3168, Australia
Ideal student skillset | Essential skillsBackground/qualifications in physics, engineering (electrical engineering, photovoltaic engineering).Background in machine learning and data analytics.Understanding of renewable energy systems and smart grid technologies.Knowledge of cybersecurity principles and data privacy frameworks. Desirable skillsProficiency in programming languages like Python, R, or MATLAB.Prior experience in working with energy forecasting models.Strong communication and project management skills.
Application close date | Open until position filled
Apply | UNSW