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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 a highly motivated and technically capable Research Engineer to support research work under the project “Sustainable Living”. Key Responsibilities: Collaborate closely with the Principal Investigator (PI) and research team to design, develop, and evaluate AI-driven solutions for sustainable living and green recommendation systems. Collect, organize, clean, and preprocess multimodal datasets, including textual, behavioral, contextual, and sustainability-related data, for AI modeling and analysis. Develop efficient data processing and experimentation workflows to support user modeling, preference understanding, behavior analysis, and personalized sustainability recommendations. Conduct experiments, evaluate model performance, analyze results, and iteratively improve AI models and systems. Collaborate with researchers from different disciplines and contribute to research publications, technical reports, project deliverables, and demonstrations. Job Requirements: Master’s degree in Computer Science, Computer Engineering, Software Engineering, Artificial Intelligence, Data Science, or a related discipline. Candidates who are currently pursuing a Ph.D. are also welcome. Strong programming and software development skills, with the ability to implement and evaluate AI-based systems. Knowledge or practical experience in one or more of the following areas such as Natural Language Processing (NLP), Large Language Models (LLMs), Multimodal Artificial Intelligence, Recommendation Systems, Intelligent/Agentic AI, etc. Research or project experience in data-driven AI, intelligent systems, recommendation systems, or related applications is preferred. Experience working with multimodal or domain-specific datasets is an advantage. Strong analytical and problem-solving skills, with a proactive approach to addressing technical challenges. Good communication and teamwork skills, with the ability to work effectively in a multidisciplinary research environment. Experience with academic research, publications, or participation in research projects is an advantage. 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% 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 www.ntu.edu.sg About NIE About RSIS About LKCMedicine About NTUItive
Publicada el 12 ago 2026
