Research Fellow (Communication, Media Studies, Computational Social Science, Data Science)

About the role

The Wee Kim Wee School of Communication and Information (WKWSCI), together with the Earth Observatory of Singapore, is recruiting a Research Fellow for the Climate Transformation Program (CTP) project "Cross Cutting Theme 1 - Sustainable Societies", funded by an MOE Tier 3C Grant. The theme uses climate research in communication, public opinion and psychology to shape public attitudes and behaviours towards climate change. The fellow works directly with the theme's principal investigator, Professor Shirley Ho, at NTU.

Key responsibilities

• Contribute to an interdisciplinary research programme by conducting literature reviews and supporting manuscript development
• Collect and analyse online public discourse data using sentiment and content analysis methods
• Apply statistical and computational techniques to analyse large-scale textual datasets
• Contribute to peer-reviewed journal articles and conference presentations
• Prepare progress reports and final research outputs
• Support dissemination of findings to academic and public audiences
• Assist with general project coordination and administrative tasks as required

Required profile

• PhD in Communication, Media Studies, Computational Social Science, Information Science, Computer Science, Data Science or a related discipline
• Demonstrated expertise in sentiment analysis, opinion mining or computational analysis of media and public discourse, linking computation to communication theories
• Strong quantitative research skills and a strong publication record or clear potential to publish in reputable venues
• Ability to lead collaborative projects, coordinate stakeholders and manage timelines and deliverables; project management or industry-academia collaboration experience preferred

Required skills

• Proficiency in Python or R
• Experience with large-scale textual data, NLP, machine learning, transformer-based models or large language models
• Bonus: fine-tuning or prompting LLMs for sentiment, emotion, stance or framing analysis; API data collection via web scraping; grant proposal preparation; open-science practices

Applicants submit a cover letter, full CV and three referees in one document; only shortlisted candidates will be contacted.