A post-doc position on Causal Inference, starting February 2021, is available at the University of Florence, on the Analysis of causal effects in experimental and observational studies, supervisor Fabrizia Mealli.
Project summary: The research activities will focus on causal inference for experimental and observational data. Research will be conducted in areas such as irregular designs with complex data structures and interference, treatment effect heterogeneity, principal stratum strategies, under the potential outcome approach and using different modes of inference, including Bayesian model-based methods. Methods development will be mostly motivated by problems in the social sciences, public health, clinical trials and field experiments. R software will be developed and disseminated to implement the proposed methods. Computational expertise and some knowledge of causal inference and Bayesian methodology are preferred.