Research Assistant (Communications and New Media)

National University of Singapore; Singapore; On-site; SGD 40,000 - 70,000; Full time

Benefits offered by this job

Hands-on AI

Publications allowed

Mentorship

Policy relevance

Job summary

National University of Singapore invites a Research Assistant (Communications and New Media) to join a 12‑month project on computational social science. Location: Singapore. You will work on LLMs, data analysis, and platform development, supporting rigorous research and potential publication.

The role requires strong programming and ML framework experience, with collaboration across faculty and graduate researchers. This is a hands‑on research position with policy relevance and mentorship.

Qualifications

• Bachelor’s degree in a relevant field (completed or in final year).
• Strong programming skills in Python or R.
• Experience with ML frameworks and statistical analysis.

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.

Skills

Python

R

Machine learning

Statistical analysis

Data visualization

Independent work

Interdisciplinary research

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Data Science

Bachelor’s degree in Quantitative Social Science

Tools

PyTorch

TensorFlow

scikit-learn

Jupyter

Job description

Research Assistant (Communications and New Media)

University-Level Unit: Arts & Social Sciences Faculty/Department-Level Unit: Communications And New Media Employee Category: Research Staff Location_ONB: Kent Ridge Campus Posting Start Date: 06/07/2026

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.