Research Scientist (Artificial Intelligence / Computer Science / Machine Learning / Natural Language Processing / Information Retrieval / Data Science)
At a glance
Mid-level AI Research role at Ntu. NTU Main Campus · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop algorithms that make large language and multimodal models more efficient to train, run, retrieve from and deploy
- Create AI methods for sustainability applications and improve the scalability and environmental efficiency of large models
- Publish your research in leading AI conferences and journals, and work with research partners on Green AI projects
- Guide junior researchers and help shape research proposals and strategic initiatives
What you bring
- A Ph.D. in AI, computer science, machine learning or another listed or closely related discipline
- A strong research record in areas such as LLMs, Green AI, efficient machine learning or distributed AI systems
- A strong publication history in reputable journals or conferences
- Strong Python skills and experience with modern AI frameworks such as PyTorch or Hugging Face
Who this fits
This role suits a research scientist focused on efficient, sustainable AI who can work independently and with researchers across disciplines. The position is based at NTU Main Campus in Singapore.
From the employer
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.
Hiring Institution: NTU