Assistant Professor, Computational Political Science

Position description

The Department of Political Science at Stony Brook University invites applications for a tenure-track Assistant Professor in Computational Political Science. This position would begin in Fall 2025. The department is interested in applicants with expertise in applying big data methods, computational methods, or advanced statistical methods to problems in political science. Successful candidates will have a strong record of demonstrated research excellence. Additional duties include fostering inclusive teaching at the graduate and undergraduate levels, conducting a program of research, and participating in faculty governance at the departmental, college, and university levels.

Qualifications
Required Qualifications:
Ph.D. (or foreign equivalent) in Political Science or a closely related field in hand by August 31, 2025. Research work applying big data methods, computational methods, or advanced statistical methods to problems in political science.

Preferred Qualifications:
Demonstrated record of the following, as evidenced by the applicants CV and supporting materials:

• record of producing high-quality research
• strong research background and training
• strong publication record
• research interests in political behavior, American politics, or comparative politics
• experience teaching at the undergraduate and/or graduate level