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following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal
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and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group
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subfields will also be given full consideration. Advanced methodological training is essential; this includes high-level familiarity with causal inference, experimental methods, and econometric techniques
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-level familiarity with causal inference, experimental methods, and econometric techniques. Familiarity with public opinion research and experience working with historical sources would be helpful, but not