{"id":196550,"url":"https://alion.io/job/nanyang-technological-university-research-scientist-computer-science-artificial-intelligence-machine-learning-natural-language-processing","title":"Research Scientist (Computer Science / Artificial Intelligence / Machine Learning / Natural Language Processing)","company":{"id":98222,"name":"Nanyang Technological University","domain":"ntu.edu.sg","url":"https://alion.io/company/nanyang-technological-university","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":194,"ghost_share":0,"stale_share":0.902,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":49000,"max_usd":136000,"period":"year","method":"role_country_seniority_unknown","sample_n":120},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-08-28T00:00:00Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-11-03T05:58:43Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"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.\nANGEL’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.\nWe are seeking an outstanding Research Scientist - Green AI to conduct cutting-edge research on efficient, sustainable, and scalable artificial intelligence technologies. The successful candidate will develop novel algorithms and system-level innovations that significantly improve the energy efficiency, computational efficiency, and deployment of large AI models while maintaining high model performance.\nThe ideal candidate has a strong research background in large language models (LLMs), efficient deep learning, natural language processing, model optimization, and AI systems, with a proven publication record at top-tier AI conferences and journals.\nJob Description:\nConduct research on Green AI technologies, including efficient training and inference of foundation models and large language models (LLMs).\n\nDevelop scalable AI systems that enable practical deployment of foundation models on resource-constrained computing platforms.\n\nDevelop AI technologies that contribute to sustainability applications.\n\nPublish research findings in leading AI conferences and journals\n\nCollaborate with internal and external research partners to deliver innovative Green AI solutions.\n\nMentor junior researchers and contribute to research proposal development and strategic initiatives.\n\nJob Requirements:\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a closely related discipline.\n\nDemonstrated expertise in Large Language Models (LLMs), Natural Language Processing, Efficient Deep Learning, AI Model Optimization, etc.\n\nResearch experience in Green AI, sustainable computing, or energy-efficient machine learning.\n\nExcellent publication records in reputable journals/conferences\n\nStrong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face).\n\nAbility to work independently and collaborate across multidisciplinary teams.\n\nStrong publication record in top-tier AI conferences and/or journals.\n\nWe regret to inform that only shortlisted candidates will be notified.\nHiring Institution: 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