Green AI Researcher: Efficient LLMs & Sustainable ML

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTU Singapore's Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) seeks a Research Scientist – Green AI to advance efficient, sustainable AI. You will develop novel algorithms and system-level innovations to improve energy and computational efficiency while maintaining strong model performance.

Ideal candidates have a PhD in CS/AI/NLP, strong publication records, and proven work on LLMs, efficient deep learning, model optimization, and AI systems.

Qualifications

• PhD in Computer Science, AI, NLP or closely related field.
• Demonstrated publications in top AI conferences/journals.
• Experience with Green AI, sustainable computing or energy-efficient ML.
• Strong programming skills in Python and modern AI frameworks.

Responsibilities

• Conduct research on Green AI technologies, incl. efficient training and inference of foundation models and LLMs.
• Develop scalable AI systems for deployment on resource-constrained platforms.
• Publish findings in leading AI venues and journals.
• Collaborate with internal and external partners to deliver Green AI solutions.
• Mentor junior researchers and contribute to grant proposals and strategic initiatives.

Skills

LLMs

Efficient DL

NLP

AI Model Optimization

Python

PyTorch

Hugging Face

Education

PhD in Computer Science/AI/NLP

Tools

Python

PyTorch

Hugging Face

Job description

NTU Singapore's Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) seeks a Research Scientist – Green AI to advance efficient, sustainable AI. You will develop novel algorithms and system-level innovations to improve energy and computational efficiency while maintaining strong model performance.

Ideal candidates have a PhD in CS/AI/NLP, strong publication records, and proven work on LLMs, efficient deep learning, model optimization, and AI systems.