Research Scientist (Computer Science/Software Engineering/Artificial Intelligence)

Nanyang Technological University Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University Singapore seeks a researcher for the Alibaba-NTU Global e-Sustainability CorpLab (ANGEL). The role involves conducting high-quality research in areas like recommendation systems, and analyzing large-scale data. Candidates should hold a PhD in Computer Science or related fields and have a robust background in graph neural networks and multimodal learning. This position fosters independent and collaborative work aligned with national sustainability goals.

Qualifications

• Strong research background in recommendation systems and graph neural networks.
• Solid programming skills in machine learning.
• Ability to work independently and collaboratively.

Responsibilities

• Conduct high-quality research in recommendation systems.
• Design and develop novel AI models.
• Analyze large-scale structured and unstructured data.

Skills

Research in recommendation systems

Graph neural networks

Multimodal machine learning

Programming skills in machine learning frameworks

Education

PhD in Computer Science or related field

Tools

Deep learning frameworks

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.

Job Description

• Conduct high‑quality research in recommendation systems, graph neural networks, and multimodal machine learning.
• Design and develop novel AI models for sequential recommendation, cross‑domain learning, self‑supervised learning, and knowledge distillation.
• Analyze large‑scale structured and unstructured data, including user behaviour, graph data, and multimodal content such as text and images.

Job Requirements

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.
• Solid programming and model development skills in machine learning and deep learning frameworks.
• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

Hiring Institution: NTU