aimlroles

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

Ntu Open · verified Oct 22, 2026
NTU Main Campus Full-time Mid-level AI Research

At a glance

Mid-level AI Research role at Ntu. NTU Main Campus · full-time.

Pay not stated AI Research salary

RoleAI Research
SeniorityMid-level
LocationNTU Main Campus
EmploymentFull-time
PostedAug 28, 2026 · 7w ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Research ways to make foundation models and large language models cheaper to train and run
  • Build scalable AI systems that let foundation models operate on computing platforms with limited resources
  • Create AI methods for sustainability applications and publish the results in leading research venues
  • Work with research partners, guide junior researchers and help shape proposals and research plans

What you bring

  • A PhD in computer science, AI, machine learning, NLP or a closely related area
  • Research experience in Green AI, sustainable computing or energy-efficient machine learning
  • Expertise in large language models, NLP, efficient deep learning or model optimization, plus strong Python and modern AI framework skills
  • A strong publication record in respected AI conferences or journals

Who this fits

This role suits a research scientist focused on efficient AI models and systems, with experience spanning both research and practical deployment. You’ll collaborate across disciplines and mentor junior researchers at NTU’s 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 – Green AI to conduct cutting-edge research on efficient, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency, computational efficiency, and deployment of large AI models while maintaining high model performance.

The ideal candidate has a strong research background in large language models (LLMs), efficient deep learning, natural language processing, model optimization, and AI systems, with a proven publication record at top-tier AI conferences and journals.

Job Description:

  • Conduct research on Green AI technologies, including efficient training and inference of foundation models and large language models (LLMs).

  • Develop scalable AI systems that enable practical deployment of foundation models on resource-constrained computing platforms.

  • 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:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a closely related discipline.

  • Demonstrated expertise in Large Language Models (LLMs), Natural Language Processing, Efficient Deep Learning, AI Model Optimization, etc.

  • Research experience in Green AI, sustainable computing, or energy-efficient machine learning.

  • Excellent 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.

  • Strong publication record in top-tier AI conferences and/or journals.

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

Hiring Institution: NTU