Postdoctoral Fellow (Generative AI, Digital Media, and Public Attention)

Job Description

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Postdoctoral Fellow (Generative AI, Digital Media, and Public Attention)

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Job Title: Postdoctoral Fellow (Generative AI, Digital Media, and Public Attention)

University-Level Unit: Arts & Social Sciences

Faculty/Department-Level Unit: Communications And New Media

Employee Category: Research Staff

Location_ONB: Kent Ridge Campus

Posting Start Date: 26/06/2026

Job Description

We are seeking a full-time Postdoctoral Fellow to conduct research at the intersection of political communication, digital media, and artificial intelligence. The position is part of a broader interdisciplinary research programme that uses computational and social scientific approaches to study emerging technologies and their role in shaping public attention and digital media ecosystems. The Principal Investigator is Assistant Professor Zening Duan in the Department of Communications and New Media at the National University of Singapore.

The position is well suited for a scholar interested in the communicative, political, and societal implications of generative AI technologies, particularly large language models (LLMs). The successful candidate will contribute to a research programme investigating how AI-generated content and conversational systems influence information seeking, attention allocation, and civic engagement. The programme also examines how global publics and organizations make sense of AI technologies and their implications for everyday digital life and communication practices. Depending on the fellow’s interests, the work may include AI auditing and evaluation, computational and multimodal analyses, experiments, surveys, and mixed methods research.

Benefits

Internationally competitive salary commensurate with qualifications and experience

Initial one year appointment with the possibility of renewal for a second year, subject to satisfactory performance and available funding

Opportunities for collaboration across communication, computational social science, and AI-related research communities at NUS

Excellent research support and infrastructure provided by CNM and NUS

Qualifications

Applicants should have, or expect to have by the start date, a PhD in Communication, Computational Social Science, Political Science, Information Science, Data Science, or a related field. Preference will be given to candidates with a strong grounding in political communication, messaging effects, media psychology, human-computer interaction, and computer-mediated communication. The successful candidate should demonstrate expertise in computational social science methods and experience working with large scale digital trace, multimodal, survey, and experimental datasets. Candidates with research experience involving large language models, such as prompt engineering, AI auditing and evaluation, human centered simulations, or agentic systems, would be especially well suited for the position. Due to the nature of the role, involving scientific writing and international collaboration, excellent written and spoken English is essential. Intellectual independence and a demonstrated interest in developing innovative research on AI, digital media, and their societal implications are highly desirable.

Responsibilities

The successful candidate will conduct independent, publishable research on generative AI technologies and digital media. Research topics may include AI-generated content, online discourse, public attention, and the societal implications of AI for communication and media ecosystems. The full-time Postdoctoral Fellow is expected to contribute to high-quality journal publications during the appointment. Other responsibilities include:

Contribute to the design and implementation of research projects

Conduct data collection, management, and analysis

Prepare manuscripts for submission to academic journals, book chapters, and conferences

Prepare presentation materials for meetings, workshops, and conferences

Assist with research administration and project coordination

Perform other duties as assigned

Application Procedure

Interested applicants are invited to submit the following documents via the NUS Career Portal.

Cover letter describing the applicant’s interest in the position, relevant qualifications, and fit with the research agenda

Curriculum vitae

Two academic publications (journal articles, conference proceedings, or scholarly commentary)

Names and contact information for at least two referees. Referees will be contacted for letters of recommendation if the applicant is shortlisted

Optional link to a professional website, GitHub profile, or portfolio

Applications will be accepted until the position is filled. Shortlisted candidates will be contacted directly by a faculty member or administrator for an interview.

Req ID: 33343

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