Monash University23 followers37 jobs

Energy-Efficient Decentralised Training Frameworks for Large-Scale AI Models on Geo-Distributed Infrastructure

GraduateFull-timeHybridClayton VIC 3168, AustraliaPosted 1 week agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

This PhD scholarship offers an exciting opportunity for a motivated individual to explore energy-efficient decentralized training frameworks for large-scale AI models. By joining the Faculty of Information Technology at Monash University, you will collaborate with industry leaders and tackle critical challenges in modern AI. The team values innovation, collaboration, and a commitment to sustainability in AI research.

You'll be responsible for

🔍

Conducting research

Engaging in innovative research on energy-efficient decentralized training frameworks for AI models.
🤝

Collaborating with industry partners

Working closely with Pluralis Research and other experts to address real-world challenges.
📚

Publishing research findings

Contributing to high-impact research outputs and open-source tools.

Key criteria

🎓

Relevant academic qualifications

Bachelor's or master's degree in a related discipline.

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💻

Experience with distributed systems

Demonstrated experience in designing or implementing distributed systems.

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⚙️

Knowledge of AI/ML frameworks

Familiarity with frameworks for machine learning and AI model training.

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Meet the team

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5 criteria for this job
Relevant academic qualifications
Bachelor's or master's degree in a related discipline.

View

Experience with distributed systems
Demonstrated experience in designing or implementing distributed systems.

View

Knowledge of AI/ML frameworks
Familiarity with frameworks for machine learning and AI model training.

View

Interest in sustainable AI
Proven interest in energy-efficient and sustainable AI practices.

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Research experience
Experience conducting research with a focus on AI or computing.

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