Nanyang Technological University Singapore

Research Fellow in Communication and Computational Social Science for Sustainable Societies

Nanyang Technological University Singapore

Singapore · Full Time

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Experience
Any
Salary
Openings
1
Posted
2 weeks ago
Work mode
In office
Education
PhD
Resume
Required to apply

Where you'll work

Job description

Overview

The Wee Kim Wee School of Communication and Information, in partnership with the Earth Observatory of Singapore, seeks a Research Fellow to support the Climate Transformation Program (CTP): Cross Cutting Theme 1 – Sustainable Societies. Funded by the MOE Tier 3C Grant, this initiative aims to develop and accelerate knowledge-driven solutions and cultivate future leaders to support a resilient, equitable, and sustainable environment in Southeast Asia. The program spans multiple disciplines including climate science, artificial intelligence, social sciences, and engineering, with a focus on applying scientific results to practical solutions in Singapore and beyond.

Role and Responsibilities

  • Perform comprehensive literature reviews and assist in preparing manuscripts for publication.
  • Gather and analyze public online discourse data using sentiment and content analytic methods.
  • Employ statistical and computational techniques to process and interpret large textual datasets.
  • Contribute to the writing of journal articles and presentations for academic conferences.
  • Prepare research progress reports and final project deliverables.
  • Disseminate research findings to both scholarly and general audiences.
  • Assist in coordinating project activities and manage routine administrative duties as needed.

Qualifications and Skills

  • PhD in Communication, Media Studies, Computational Social Science, Information Science, Computer Science, Data Science, or a closely related field.
  • Proven expertise in sentiment analysis, opinion mining, or computational evaluation of media/public discourse, with the ability to link these analyses to communication theories.
  • Strong quantitative analysis skills plus proficiency in programming languages such as Python or R.
  • Experience handling large-scale text data, natural language processing, machine learning, and advanced models including transformers or large language models.

Additional Valuable Experience

  • Skills in fine-tuning or prompting large language models for emotion, stance, or framing assessment.
  • Experience analyzing social media, news, or online community text corpora on a large scale.
  • Familiarity with data acquisition through APIs or web scraping.
  • Track record in grant applications and participation in funded projects.
  • Knowledge of open science principles such as reproducibility, preregistration, and proper research data management.
  • Proven ability to lead collaborative projects, manage coordination among diverse stakeholders, and ensure timely delivery of quality work, preferably with experience in project management or academia-industry partnerships.
  • Strong publication history or demonstrated capacity to publish in top communication and computational social science venues, with the ability to independently formulate research questions and produce scholarly outputs.
  • Excellent academic writing and presentation abilities, capability to work effectively in interdisciplinary teams, and experience supervising research staff or contributing to grant proposals.

Opportunities and Benefits

  • Engage in multidisciplinary research addressing climate change and sustainable societal development in Southeast Asia.
  • Work collaboratively with experts across NTU and partner organizations.
  • Contribute research that can significantly impact public understanding and responses to climate change.
  • Build a strong research portfolio through publications, conferences, and partnerships.

Application Process

Candidates are invited to submit a comprehensive document including a cover letter, curriculum vitae, and contact information for three referees. Queries can be directed to the principal investigator via email. Please note that only shortlisted applicants will be contacted.

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