PhD scholarship in Green Computing

PhD scholarship opportunities in Green Computing and Sustainable AI for students passionate about shaping the future digital society.

This PhD scholarship is designed for highly motivated students who want to contribute to the future of sustainable Artificial Intelligence, advanced digital infrastructure, and environmentally responsible computing systems. Hosted within RMIT's Software Engineering research environment, the project focuses on Green Computing technologies that aim to reduce the energy consumption, carbon footprint, and electronic waste associated with rapidly growing AI-driven digital ecosystems. The scholarship will support research across areas such as energy-efficient AI, Green Software engineering, edge and cloud computing, cybersecurity, distributed systems, intelligent networking, and 5G/6G-enabled digital infrastructure. Candidates will investigate how future AI systems can be designed, developed, deployed, and managed more sustainably while maintaining performance, resilience, and societal benefit.

This opportunity is suited to students interested in combining software innovation with real-world societal impact. The research will contribute to next-generation intelligent systems supporting healthcare, smart cities, transport, industry, environmental monitoring, and future digital services. Students will work alongside leading researchers and industry collaborators on globally relevant challenges linked to sustainable digital transformation and responsible AI adoption.

The scholarship provides an opportunity to contribute to world-class research that seeks to position Australia at the forefront of Green Computing, Sustainable AI, and future resilient digital infrastructure innovation for a more sustainable and intelligent society.

$36,245 per annum

Two (2).

Available for domestic or international students.

30/12/2026

Visit the how to apply page for more information regarding how to apply.

461201 Automated software engineering

461202 Empirical software engineering

461203 Formal methods for software

461206 Software architecture

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