Job Description

Duration: 12 months (start no later than 1 September 2026)

Location: Singapore 

Eligibility:

Must have completed or be in the final year of a Bachelor’s degree in:

• Computer Science
• Data Science
• Quantitative Social Science (e.g., Economics, Political Science, Sociology with strong quantitative training)
   

Responsibilities:

• Work with Large Language Models (LLMs), including fine-tuning and evaluation.
• Conduct statistical analysis and quantitative modeling of social science data.
• Build and maintain experimental platforms for computational social science studies.
• Run analyses on datasets, ensuring methodological rigor and reproducibility.
• Contribute to writing research findings for academic publication.
• Collaborate with faculty and graduate researchers on project design and execution.
   

Requirements:

• Strong programming skills (Python, R, or equivalent).
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with statistical analysis and data visualization.
• Ability to work independently and meet deadlines.
• Interest in computational social science and interdisciplinary research.
   

Benefits:

• Hands-on experience with cutting-edge AI and social science methods.
• Opportunity to co-author publications and present findings.
• Mentorship in research design and methodological innovation.
• Exposure to collaborative academic projects with real-world policy relevance.

For enquiries, kindly write directly to Dr Subhayan Mukerjee at mukerjee[at]nus.edu.sg.

We regret that only shortlisted candidates will be notified.

Qualifications

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