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

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A leading university in Singapore is seeking a motivated Research Scientist specializing in Computer Science, Software Engineering, or Artificial Intelligence. In this role, you will conduct high-quality research in advanced machine learning, focusing on recommendation systems and graph neural networks. Ideal candidates should hold a PhD in a relevant field and possess strong skills in programming and model development. Join us to contribute to impactful research that promotes sustainability and intelligent decision-making.

Qualifications

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

Responsibilities

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

Skills

Recommendation systems

Graph neural networks

Multimodal machine learning

Machine learning frameworks

Deep learning frameworks

Education

PhD in Computer Science, Software Engineering, or Artificial Intelligence

Job description

Research Scientist (Computer Science/Software Engineering/Artificial Intelligence) page is loaded## Research Scientist (Computer Science/Software Engineering/Artificial Intelligence)locations: NTU Main Campus, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R00024031The 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 looking for a motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.**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 behavior, 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.We regret to inform that only shortlisted candidates will be notified.Hiring Institution: NTUNTU 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% are 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