Hello All, The McCourt School of Public Policy seeks an excellent scholar and teacher interested in the intersection of data science and policy. The position will be non-tenure line with responsibilities that are half research with the Massive Data Institute (MDI) and half teaching classes on machine learning and other data science topics for the Data Science for Public Policy (DSPP) Program. The Massive Data Institute is an interdisciplinary center focusing on key public policy and analytic issues involving high-dimensional data. Research at MDI covers a broad range of data science and policy, including misinformation, migration, environmental policy and other topics. The Data Science for Public Policy is a two-year Master of Science degree that trains students in data science, causal inference and public policy. Applicants must have a Ph.D. or be advanced status in a Ph.D. program and have demonstrated experience conducting policy-relevant research using advanced tools in data science such as machine learning, natural language processing and spatial analysis. Relevant fields include, but are not limited to, computer science, data science, public policy, economics, political science and environmental science. The committee will begin reviewing applications May 1. We welcome applications after that date. Please apply at https://apply.interfolio.com/124280 And please let me know if you have questions. Best, Mike -- Michael Bailey <https://michaelbailey.georgetown.domains/> Walsh Professor, Department of Government and McCourt School of Public Policy Georgetown University Director, Data Science for Public Policy Program <https://mccourt.georgetown.edu/master-of-science-in-data-science-for-public-policy/> Books: Real Stats <https://global.oup.com/ushe/product/real-stats-9780190859497>, Real Econometrics <https://global.oup.com/ushe/product/real-econometrics-9780190857462> ************************************************************** Political Methodology E-Mail List Editors: Dominique Lockett and Gechun Lin <[log in to unmask]> ************************************************************** Send messages to [log in to unmask] To join the list, cancel your subscription, or modify your subscription settings visit: https://www.cambridge.org/core/membership/spm/mailing-list **************************************************************