Nanyang Business School (NBS) at Nanyang Technological University is a leading business school in Asia, with strong research strengths in finance, risk management, insurance, economics, and data-driven social science. NBS is committed to advancing rigorous, policy-relevant, and internationally visible research that addresses major economic and societal challenges. The school fosters interdisciplinary research that integrates modern empirical methods, large-scale administrative and textual data, and advances in artificial intelligence and machine learning. Research conducted at NBS regularly informs public policy debates and industry practice, while contributing to leading international academic journals. We are looking for a Research Associate to support research at the intersection of artificial intelligence, finance and the social sciences. The role will focus on developing AI research agents, building empirical research benchmarks such as InferenceNet, and conducting reproducible computational experiments. The position will contribute to NTU's interdisciplinary research through reliable research tools, datasets and empirical evidence. Key Responsibilities: Develop and maintain AI research agents and workflows for data analysis, empirical research and automated experimentation. Collect, clean and document research datasets and benchmark tasks, with appropriate quality checks and data governance. Implement and evaluate machine learning and language models for research applications in finance and the social sciences. Reproduce empirical analyses and assess generated code, statistical outputs and research findings against defined evaluation criteria. Run computational experiments, troubleshoot research software, and maintain reproducible code, environments and experiment records. Analyse experimental results and prepare research reports, visualisations, documentation and materials for publications and presentations. Collaborate with faculty and research partners on benchmark development, research activities and dissemination of findings. Job Requirements: Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Economics, Engineering or a related discipline. Proficiency in Python and experience with data processing and machine learning libraries. Knowledge of machine learning, statistical analysis and experimental evaluation. Hands-on research or software development experience, which may be gained through academic projects or internships. Good written and oral communication skills, with the ability to document methods and communicate research findings clearly. Ability to work independently and collaboratively, with attention to detail and good organisational and time management skills. Experience with large language models, AI agents, econometric software, or GPU computing is advantageous. Entry level candidates are welcome to apply. 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

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22 Oct, 2026

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