Postdoktor inom kausal inferens och språkteknologi
Core
Developing methods to use text data for causal inference in social sciences while mitigating treatment leakage, with a primary focus on the impact of development projects in Africa.
Role type
Postdoctoral researcher (causal inference & NLP)
Builds
Research outputs including publications, new estimation methods, and applied studies on development projects.
Domain
Computational social science, causal inference, natural language processing (NLP)
Deliverable
research
Required skills
Causal inference, natural language processing (NLP), Python, R, statistical modeling, large language models, mechanistic interpretability
Preferred skills
Text as data, semiparametric and design-based estimation, AI for Social Good
Technologies
Python, R, large language models
Responsibilities
Lead independent research studies, collaborate with the CSE team on method development, apply methods to applied social science questions, supervise a PhD student, publish in leading scientific forums
Seniority
Postdoctoral researcher