Research Scientist – AI & Data Science for Sustainable Vector Search

About the role

The Alibaba‑NTU Global e‑Sustainability CorpLab (ANGEL) is looking for a Research Scientist to advance vector‑search research for high‑dimensional data. The role supports NTU’s AI mission by creating sustainable, high‑performance methods that can be applied to smart‑city and ESG initiatives.

Key responsibilities

• Develop quantitative sustainability indicators and performance metrics for smart communities.
• Design data‑driven assessment methodologies for ESG performance evaluation.
• Build AI‑enabled measurement and monitoring frameworks for sustainability applications.
• Create digital tools for data collection, validation, visualization, and reporting.
• Apply machine learning, optimization, and statistical analysis to evaluate sustainability performance.
• Design trustworthy AI methods ensuring transparency, robustness, fairness, and reproducibility.
• Conduct literature reviews, design experiments/surveys, and develop statistical/computational models.
• Coordinate with multidisciplinary research teams and communicate results to collaborators.
• Prepare research proposals, technical reports, and scientific publications.

Required profile

• 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.
• Excellent scientific writing record and ability to work independently and in teams.

Required skills

• Python programming.
• Modern AI frameworks such as PyTorch and Hugging Face.
• Machine‑learning techniques.
• Optimization algorithms.
• Statistical modelling.
• Large‑scale data analysis.