Research Assistant: AI & Social Science Coauthor Mentorship

National University of Singapore; Singapore; In loco; SGD 33.480 - 46.872; Tempo pieno

Vantaggi offerti da questo lavoro

Hands-on AI experience

Co-author publications

Mentorship in research design

Policy-relevant projects

Descrizione del lavoro

National University of Singapore invites applications for a Research Assistant in Communications and New Media on a 12-month appointment at Kent Ridge Campus. You will work with Large Language Models, run analyses, build experimental platforms, and contribute to publications.

Applicants should have a final-year or completed Bachelor's in CS, Data Science, or Quantitative Social Science, with Python/R and ML framework experience, strong independent work habits, and a keen interest in

Competenze

• Must have completed or be in the final year of a Bachelor's degree in Computer Science.
• Must have completed or be in the final year of a Bachelor's degree in Data Science.
• Must have completed or be in the final year of a Bachelor's degree in Quantitative Social Science (e.g., Economics, Political Science, Sociology with strong quantitative training).
• Strong programming skills (Python, R, or equivalent).
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with statistical analysis and data visualization.

Mansioni

• 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.

Conoscenze

Python

R

Data visualization

Statistical analysis

Formazione

Bachelors in Computer Science

Bachelors in Data Science

Bachelors in Quantitative Social Science

Strumenti

PyTorch

TensorFlow

Descrizione del lavoro

Location: Singapore

Job Title: 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.

Qualifications

Req ID: 33637