Research Scientist (Electrical Engineering /Computer Engineering/Computer Science/AI/Data Science)

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 to hire a Research Scientist to support an advanced research programme on vector search on high-dimensional vectors. This role directly contributes to NTU’s mission of advancing cutting-edge AI technologies by developing next-generation methods that improve the performance, reliability, and efficiency of vector search systems. The Research Scientist will contribute to translating research outcomes into practical sustainability standards methodologies.

Key Responsibilities

• Develop quantitative sustainability indicators and performance metrics for sustainability living and smart communities.
• Design data-driven assessment methodologies for environmental, social, and governance (ESG) performance evaluation.
• Develop AI-enabled measurement and monitoring frameworks for sustainability applications.
• Build digital tools for sustainability data collection, validation, visualization, and reporting.
• Apply machine learning, optimization, and statistical analysis to evaluate sustainability performance.
• Design trustworthy AI methodologies to ensure transparency, robustness, fairness, and reproducibility in sustainability assessments.
• Conduct literature reviews, design experiments/surveys in sustainability, data collection and analysis, develop and test the statistical and computational models for the metrics.
• Coordinate with research team and communicate with collaborators Prepare research proposals, technical reports, scientific publications, arising from the research.

Job Requirements

• PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Data Science, or a closely related discipline.
• Strong research background in machine learning, optimization, AI systems, or data analytics.
• Experience developing quantitative evaluation methodologies or performance metrics.
• Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face).
• Experience with optimization algorithms, statistical modelling, or large-scale data analysis.
• Excellent scientific writing and publication record.
• 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.

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