Postdoctoral Fellowship Opportunity: Florence Levy Kay Postdoctoral Fellowship in Generative AI and Political Science – Brandeis University

Postdoctoral Fellowship Opportunity: Florence Levy Kay Postdoctoral Fellowship in Generative AI and Political Science – Brandeis University

• Institution: Brandeis University

• Departments: Politics and Computer Science

• Position: Florence Levy Kay Postdoctoral Fellowship in Generative AI and Political Science

• Fellowship ID: Brandeis-POLCOSCI-KAYPOLCOSCI #33083

• Appointment Type: Full-Time Postdoctoral Fellowship

• Duration: 2 Years

• Location: Waltham, Massachusetts, United States

• Research Areas: Generative AI, Political Science, Computational Social Science, Machine Learning, NLP

• Teaching Load: 2 Courses per Academic Year

• Salary / Fellowship: Approximately INR 60.74 lakh annually, plus benefits

• Expected Start Date: July 1, 2027

• Application Deadline: January 31, 2027

Overview of the Fellowship

The Departments of Politics and Computer Science at Brandeis University invite applications for a two-year Kay Postdoctoral Fellow whose research and teaching apply modern artificial intelligence methods to substantive questions in political science.

The fellowship is designed for an emerging interdisciplinary scholar working across political science and computational methods, with particular emphasis on the rigorous application of existing AI technologies to political research.

Research Focus

Relevant research areas include:

• Generative Artificial Intelligence

• Machine Learning

• Natural Language Processing

• Computational Social Science

• Political Science

• Government

• Public Policy

• Political Behavior

• Political Communication

• Computational Text Analysis

Potential research may examine:

• Political texts

• Public opinion

• Electoral campaigns

• Policy documents

• Legislative activity

• Social media

• Political narratives

• Other forms of political data

The fellowship emphasizes the application of existing AI methods to political science, rather than developing new AI architectures.

Key Responsibilities

The Kay Fellow will be expected to:

• Conduct original research using AI and computational methods to address political science questions.

• Maintain an active scholarly research agenda.

• Produce peer-reviewed publications in conferences and journals.

• Teach one course per semester.

• Mentor students conducting computational political science research.

• Engage undergraduate and graduate students in interdisciplinary research.

• Supervise collaborative data collection and annotation projects.

• Participate in research workshops.

• Develop tools for analyzing and visualizing political data.

Teaching Responsibilities

The Fellow will teach two courses each academic year.

One course will introduce political science students to AI-based methods for political research.

The second course will be designed for computer science students interested in applying AI tools to substantive political science questions.

Possible course topics include:

• Computational Text Analysis

• Generative AI for Social Science Research

• Machine Learning for Political Data

• AI-Assisted Data Annotation

• Political Misinformation

• Data Visualization

• Ethics and Governance of AI

Teaching should help students both apply computational methods and critically evaluate their validity, limitations, bias, and ethical implications.

Essential Qualification

Applicants must have completed a Ph.D. by the start of the fellowship in:

• Political Science, or

• Public Policy

Candidates should also demonstrate technical training in one or more of the following:

• Computer Science

• Computational Social Science

• Data Science

• Computational Linguistics

• Related quantitative or computational fields

Preferred Candidate Profile

Strong candidates will demonstrate:

• A substantive research agenda in politics, government, public policy, or political behavior.

• Experience applying generative AI, machine learning, NLP, or related computational methods.

• Ability to work with social or political datasets.

• Ability to teach computational methods to students with varying technical backgrounds.

• Evidence of, or strong potential for, excellence in research.

• Evidence of, or strong potential for, excellence in teaching.

• Understanding of methodological and ethical challenges associated with AI-based research.

Salary / Fellowship Support

The advertised annual salary is:

USD 64,000

Approximately:

INR 60.74 lakh annually

Benefits are included, subject to the terms of the appointment.

The salary remains subject to budget approval.

Application Checklist

Applicants must submit:

1. Cover Letter

2. Curriculum Vitae

3. Research Statement

4. Teaching Statement

5. Three Reference Letters

Reference letters must be submitted online by the designated referees.

Nature of Appointment

• Postdoctoral Fellowship

• Two-Year Appointment

• Interdisciplinary Research and Teaching

• Joint Environment Across Politics and Computer Science

• Teaching Load: One Course per Semester

• Research and Student Mentoring Responsibilities

Important Dates

• Posting Date: October 14, 2026

• Application Deadline: January 31, 2027

• Expected Start Date: July 1, 2027

The AcademicJobsOnline interface displays the deadline in India time as February 1, 2027, but the vacancy description specifically states that applications are due January 31, 2027.

How to Apply

Applications must be submitted online through AcademicJobsOnline.

Fellowship ID: Brandeis-POLCOSCI-KAYPOLCOSCI #33083

Application Link:
https://academicjobsonline.org/ajo/jobs/33083/apply

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