Research Associate (AI, Finance and Social Sciences)

About the role

Nanyang Business School (NBS) at Nanyang Technological University is looking for a Research Associate to support research at the intersection of artificial intelligence, finance and the social sciences. The role focuses on developing AI research agents, building empirical research benchmarks such as InferenceNet and running reproducible computational experiments. It contributes 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 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 findings against defined criteria.
• Run computational experiments, troubleshoot research software and maintain reproducible code, environments and experiment records.
• Analyse results and prepare reports, visualisations, documentation and materials for publications and presentations.
• Collaborate with faculty and research partners on benchmark development, research activities and dissemination of findings.

Required profile

• Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Economics, Engineering or a related discipline.
• Hands-on research or software development experience, which may come from academic projects or internships; entry-level candidates are welcome.
• Good written and oral communication skills, and the ability to document methods and share findings clearly.
• Ability to work independently and collaboratively, with attention to detail and good organisational and time management skills.

Required skills

• Proficiency in Python and experience with data processing and machine learning libraries.
• Knowledge of machine learning, statistical analysis and experimental evaluation.
• Experience with large language models, AI agents, econometric software or GPU computing is advantageous.

Only shortlisted candidates will be notified.