Research Scientist (Artificial Intelligence / Computer Science / Machine...

Nanyang Technological University; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

NTU, in collaboration with Alibaba Group through the ANGEL Lab, seeks a Research Scientist to advance Green AI research in Singapore. You will develop efficient AI models, focusing on scalable and environmentally responsible foundation models within a cross-disciplinary team.

You will publish in top-tier venues, translate research into real-world sustainability solutions, and mentor junior researchers while contributing to strategic initiatives.

Qualifications

• PhD in Artificial Intelligence, Computer Science, ML, NLP, IR, Data Science, or closely related field.
• Strong publication record in reputable journals/conferences.
• Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face).
• Ability to work independently and collaborate across multidisciplinary teams.

Responsibilities

• Conduct research in Green AI focusing on efficiency, scalability, and sustainability of large AI models.
• Design and develop novel algorithms for training, inference, retrieval, and deployment of LLMs and multimodal foundation models.
• Develop AI technologies for sustainability applications.
• Publish findings in leading AI conferences and journals.
• Collaborate with internal and external partners to deliver innovative Green AI solutions.
• Mentor junior researchers and contribute to research proposals and strategies.

Skills

LLMs

Green AI

Distributed AI

Collaboration

Education

Ph.D. in AI/ML/related field

Tools

Python

PyTorch

Hugging Face

Job description

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

We are seeking an outstanding Research Scientist to join our Green AI research team. You will conduct cutting‑edge research on efficient and sustainable artificial intelligence technologies, advancing the development of foundation models that are both high-performing and environmentally responsible. You will work closely with interdisciplinary researchers and engineers to develop novel AI algorithms, publish in top‑tier venues, and translate research innovations into real‑world sustainability solutions.

Job Description

• Conduct research in Green AI, with a focus on improving the efficiency, scalability, and sustainability of large AI models.

• Design and develop novel algorithms for efficient training, inference, retrieval, and deployment of large language models (LLMs) and multimodal foundation models.

• Develop AI technologies that contribute to sustainability applications.

• Publish research findings in leading AI conferences and journals

• Collaborate with internal and external research partners to deliver innovative Green AI solutions.

• Mentor junior researchers and contribute to research proposal development and strategic initiatives.

Job Requirements

• Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, Data Science, or a closely related discipline.

• Strong research background in Large Language Models (LLMs), Green AI and efficient machine learning, LLM-based Agents, Distributed AI systems and scalable model serving, etc

• Strong publication records in reputable journals/conferences

• Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face).

• Ability to work independently and collaborate across multidisciplinary teams.

We regret to inform that only shortlisted candidates will be notified.