Shaping the Future of Smart Electricity Networks

Full-time, fixed-term (3 years) position at our Hawthorn campus

Annual stipend $35,500pa (2026 rate)

About the Role

Swinburne University of Technology, in collaboration with CSIRO and industry partner Essential Energy, is offering an exciting PhD scholarship within the School of Engineering. This project sits at the intersection of power systems, artificial intelligence, and the energy transition, and offers a unique opportunity to work closely with leading researchers and industry practitioners.

The research will focus on developing advanced AI-driven and autonomous methods to identify and model electricity distribution networks—an increasingly complex challenge driven by the rapid uptake of zero-emission energy resources. Outcomes will include innovative research methodologies and prototype software, with real-world impact on network management, system visibility, and Australia's transition to a carbon-neutral energy future.

About the Project

Project title: Exploring autonomous methods for distribution network identification.

This project aims to:

• Develop automated, AI-based approaches for identifying and modelling distribution networks
• Address emerging challenges associated with distributed energy resources
• Deliver prototype tools and novel research methods with practical industry relevance

The PhD candidate will work closely with Swinburne academics, CSIRO researchers, and industry partners, gaining exposure to both cutting-edge research and applied energy system challenges.

About You

You're technically strong, curious, and motivated by research that has real-world impact. You enjoy working at the intersection of theory and application and are excited by the challenge of learning new tools and approaches.

You will bring:

• A solid foundation in power systems analysis and mathematics
• Strong written and verbal communication skills, with the ability to publish and present research findings
• The ability to work both independently and as part of a collaborative research team

It's a bonus if you have:

• An interest in AI-based modelling, algorithm design, or software development
• Experience with Python and power system simulation tools such as PSSE, PSS®Sincal, PSCAD, PowerFactory, or OpenDSS
• Programming experience in Python and/or C#
• Exposure to the power systems or energy industry

Qualifications

A Bachelor's degree in Electrical Engineering, Computer Science, or a related discipline (First Class Honours preferred), or a Master's degree with a substantial research/thesis component

About Swinburne University of Technology

Swinburne's strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research.

Our Ad Astra strategy is the cornerstone of Swinburne's bold ambition to lead globally in technology-driven education and research. This strategy positions us to create transformative solutions, empower learners, and partner with industry to thrive in an ever-changing world.

To Apply

Please submit your CV and cover letter addressing the Key Selection Criteria and your suitability for this position.

To review the Position Description and to apply, please scroll down to the bottom of the page.

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Please Note: Appointment to this position is subject to passing a Working with Children Check.

If you are experiencing technical difficulties with your application, please contact the Talent Acquisition team at t***@***********

Applications Close: Sunday 29 March 2026, at 11.00pm

Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance.

Diversity, Equity and Inclusion

Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world.

Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age.

We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership.

We support applicants with disabilities. Adjustments can be requested at any time during the recruitment process. For Reasonable Adjustment requests, including accessible formats for the PD, application form or any other document, please contact D***@*********** or call +*************.

Please note the above number and DCR email address are for disability or reasonable adjustments queries only. General enquiries about the role can be sent to the Talent Acquisition team at t***@*********** (general enquiries will not be answered by phone).

Victoria's Commitment to Action: Improving international student employment outcomes.

As a signatory to Victoria's Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates.