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

Nanyang Technological University Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTU ANGEL invites applications for a Research Scientist to advance vector search methods on high-dimensional data and translate research outputs into practical sustainability standards in collaboration with NTU and Alibaba-affiliated teams.

You will develop quantitative sustainability indicators, data-driven ESG assessment methodologies, and AI-enabled measurement tools while disseminating findings through reports and publications.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, CS, AI, or Data Science.
• Strong research background in machine learning, optimization, AI systems, or data analytics.
• Experience developing quantitative evaluation methodologies or performance metrics.
• Excellent scientific writing and publication record.

Responsibilities

• Develop quantitative sustainability indicators and performance metrics.
• Design data-driven ESG assessment methodologies.
• Develop AI-enabled measurement and monitoring frameworks.
• 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.
• Coordinate with research team and communicate with collaborators
• Prepare research proposals, technical reports, scientific publications.

Skills

Machine learning

Optimization

Data analytics

Independent work

Education

PhD in Electrical Engineering / Computer Science / AI / Data Science

Tools

Python

PyTorch

Hugging Face

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.

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