Research Fellow (Communication/Media Studies/Computational Social Science/Information Science/Computer Science/Data Science)
Core
Conduct interdisciplinary research on public attitudes and behaviors towards climate change using computational social science methods.
Role type
Research Fellow (Computational Social Science / Data Science)
Builds
Peer-reviewed journal articles, conference presentations, and research outputs for the Climate Transformation Program.
Domain
Climate science, communication, and computational social science in Southeast Asia.
Deliverable
production ML models | research
Required skills
Sentiment analysis, opinion mining, statistical analysis, Python, R, natural language processing, machine learning, transformer-based models, large language models, web scraping, API integration, academic writing.
Preferred skills
Fine-tuning LLMs, data collection from social media/news, grant proposal writing, open-science practices, project management, industry-academia collaboration.
Technologies
Python, R, transformer-based models, large language models
Responsibilities
Conduct literature reviews and support manuscript development; collect and analyze online public discourse data using sentiment and content analysis; apply statistical and computational techniques to large-scale textual datasets; contribute to peer-reviewed publications and conference presentations; prepare progress reports and final research outputs; support dissemination of findings to academic and public audiences.
Seniority
Mid-level researcher (PhD required)