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>

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