Research Scientist (Artificial Intelligence / Computer Science / Machine Learning / Natural Language Processing / Information Retrieval / Data Science)

Nanyang Technological University

Singapore

On-site

SGD 90,000 - 130,000

Full time

36 hours ago
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Job summary

NTU Singapore, in collaboration with Alibaba, invites applications for a Research Scientist in the Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) Green AI team. You will pursue efficient and sustainable AI research, focusing on foundation models that are high-performing yet environmentally responsible.

You will work with interdisciplinary researchers to develop novel algorithms, publish in top venues, and translate innovations into real-world sustainability solutions.

Qualifications

  • Ph.D. in Artificial Intelligence, Computer Science, ML, NLP, 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.
  • 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.

Responsibilities

  • 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.

Skills

LLMs
Green AI
Distributed AI
Research publications
Collaboration

Education

PhD in AI/CS/ML/NLP/IR

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.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% is certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg AboutNIE AboutRSIS AboutLKCMedicine AboutNTUItive

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