Fully Funded Industry PhD in Energy-Efficient Decentralised Training for Large-Scale AI Models at Monash University Monash University in Australia

Monash University is advertising a fully funded Industry PhD opportunity in Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure. The project sits in the Faculty of Information Technology and is run in collaboration with industry partner Pluralis Research.

The research focus is on designing and developing energy-efficient decentralised orchestration mechanisms and algorithms for training large-scale foundation models across geo-distributed infrastructure. This is a strong fit for applicants interested in distributed systems, cloud computing, edge computing, machine learning, and AI infrastructure.

Funding includes an annual stipend of approximately $50K per year (indexed annually), a tuition fee waiver for international students, travel support for conferences and workshops, and full health insurance. The post also highlights access to mentoring, research resources, and industry collaboration opportunities.

Eligibility is open to domestic and international students. Applicants should have a WAM of 85+ and at least one relevant publication in top venues such as CORE A*/A or CCF Rank A conferences/journals. Candidates are asked to provide their CV, educational background, WAM for each degree, published research outputs, and academic transcripts.

To apply, complete the linked form and email your application to [email protected] with the specified subject line. Selected candidates will be contacted for the interview process.