Postdoctoral Scholar - Yardi Scholarship - Department of Political Science

Position description

The University of California, Berkeley (UCB) Department of Political Science is seeking a postdoctoral scholar who will work in collaboration with and under the supervision of Assistant Professor Kirk Bansak. 

Research with Professor Bansak will involve collaboration on his existing and/or new academic research projects. Potential project areas of interest could include (but are not limited to): political methodology; computational social science; design, analysis, and application of conjoint experiments; immigration, refugee, and asylum politics; algorithmic decision-making in public policy; technology and democracy; economic crisis and austerity politics; and public opinion. 

In addition to the research component, the postdoctoral scholar will contribute to the Yardi Scholarship program in coordination with Professor Bansak, who is the program's Faculty Director. Launching in Fall 2023, the Yardi Scholarship brings together undergraduate students in the College of Engineering and the College of Letters & Science-Social Sciences Division for a signature experience centered around the intersection of democracy and technology. Yardi Scholars benefit from financial support, a dynamic curriculum, intellectual community, and a program to foster and apply their commitment to improving the world around them. Once fully implemented, the Yardi Scholarship will support 60 students. 

Qualifications

Basic qualifications (required at time of application) 
PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program at the time of application.

Additional qualifications (required at time of start) 

• PhD (or equivalent international degree).
• No more than three years of post-degree research experience by start date.
  
  Preferred qualifications 
• PhD in Political Science, Economics, Statistics, and related fields, in particular those with interests in public policy, quantitative methods, and/or themes around democracy, technology, and social change
• Training in causal inference and/or machine learning
• Extensive experience in statistical programming (R and/or Python preferred)
• Experience in data collection and organization
• Demonstrated ability to stay organized and meet research deadlines
• Strong written and oral communication skills
• Excellent interpersonal skills, demonstrating a desire to advance diversity, equity, and belonging to establish and maintain positive and professional working relationships with colleagues, students, and staff members
• Interest in the thematic mission and programmatic components of the Yardi Scholarship

Application instructions

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