Responsibilities:

The Kay Fellow will be expected to: 

• conduct original research applying AI and computational methods to political science questions; 

• maintain an active scholarly agenda leading to peer-reviewed publications in conferences and journals; 

• teach one course per semester at the intersection of AI and political science; 

• mentor students conducting computational political science research; 

Qualifications:

Applicants must have completed a Ph.D. in Political Science or Public Policy with demonstrated technical training in Computer Science, Computational Social Science, Data Science, Computational Linguistics, or a related field by the start of the fellowship. 

Strong candidates will demonstrate: 

• a substantive research agenda in politics, government, public policy, or political behavior; 

• experience applying generative AI, machine learning, natural language processing, or related methods to social or political data; 

• the ability to teach computational methods to students with varied technical backgrounds; 

• evidence of, or strong potential for, excellence in research and teaching; and 

• an understanding of the methodological and ethical challenges associated with AI-based research. 

The appointment is intended to support an emerging scholar who can strengthen connections between political science and computer science while advancing the rigorous and socially responsible application of modern AI technologies to the study of politics. 

The salary for this position is $64,000 with benefits, pending budget approval. 

Applications are due January 31, 2027.