Postdoc in Causal Inference and Natural Language Processing

The position involves working on a project that combines causal inference and natural language processing to address biases in AI methods applied to social sciences. The postdoc will collaborate with a team at Chalmers University, focusing on using text data for causal inference while mitigating treatment leakage. Candidates should have a doctoral degree in social sciences or a related field, strong programming skills, and a record of publications. The role includes research and may involve some teaching.