Research Assistant (Communications and New Media)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Communications-and-New-Media%29/33637-en_GB/

We regret that only shortlisted candidates will be notified.

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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