Researcher in AI-Assisted and Computational Social Science Research
Core
Develop and evaluate AI-based methods (LLMs, NLP, machine learning) for computational social science research on information influence and disinformation.
Role type
Senior Researcher in AI-Assisted Computational Social Science
Builds
Scientific publications, conference presentations, and methodological capacity for commissioned research on information influence.
Domain
Social Science / Political Science / AI & Machine Learning
Deliverable
production ML models | research
Required skills
Quantitative and computational social science methods, Python or R, Machine learning, NLP, LLM-based methods, Research design and validation, Reproducible research
Preferred skills
Local or open-source language models, RAG, Fine-tuning, Multilingual NLP, Advanced quantitative methods, Political science or media studies background, Supervision and training experience
Technologies
Python, R, LLMs, NLP tools
Responsibilities
Plan and conduct independent and collaborative research using AI-based and quantitative methods; Develop and evaluate methods involving LLMs and quantitative text analysis; Strengthen research group competence through workshops and guidance; Contribute to scientific publications and funding applications.
