Arizona State University
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Postdoctoral Research Scholar in Computational Social Science, Data Science, and Narrative Analysis Arizona State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral research scholar position on a funded grant project. The post is supported by grant funding; no stipend amount, tuition, or benefits details are provided.
Deadline
Sep 16, 2026
Country
United States
University
Arizona State University
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About this position
Arizona State University’s Center on Information and Narrative Complexity (CINC) is inviting applications for a full-time postdoctoral research scholar at the Tempe Campus. This position sits within a funded grant project focused on computational social science, data science, complex systems, communication studies, natural language processing, and large language models for studying narratives, belief dynamics, and information environments.
The project develops an AI-powered framework to uncover the narratives that make messages resonate with different audiences and to measure how communications align with an audience’s worldview. The work aims to build a Narrative Codex Framework (NCF) that can decode narratives driving influence campaigns and support more effective, narrative-aligned communication strategies for human review.
Responsibilities include developing and analyzing computational and social systems from behavioral, societal, and human-centered perspectives; co-developing NCF methods with software engineers, data scientists, and social scientists; building scalable and reproducible model/data pipelines; and helping transition research methods into a robust, deployable framework. The role also includes co-mentoring students and research scientists.
Minimum qualifications: an earned doctorate completed by the time of appointment in computational social science, data science, complex systems, computer science, or a closely related field; programming experience in Python, R, or similar; basic data analysis skills; and interest or experience in modeling belief dynamics, information environments, communication, or narrative analysis. Desired qualifications include complex systems experience, interdisciplinary collaboration, familiarity with LLMs or NLP beyond prompt engineering, and interest in defense and intelligence applications.
Applications must be submitted electronically through Interfolio. Required materials are a cover letter, CV, and contact information for three references; optional materials include a research statement and two or more peer-reviewed publications. The initial deadline is 2026-09-16, and applications may continue to be reviewed on a rolling reserve-pool basis until the position is filled.
Funding details
Full-time postdoctoral research scholar position on a funded grant project. The post is supported by grant funding; no stipend amount, tuition, or benefits details are provided.
What's required
Applicants must have an earned doctorate completed by the time of appointment in computational social science, data science, complex systems, computer science, or a closely related field. Required experience includes programming in Python, R, or similar languages, basic data analysis, and interest or experience in modeling belief dynamics, information environments, communication, or narrative analysis. Candidates should be able to work independently and collaboratively in an interdisciplinary team. Preferred qualifications include experience with complex systems approaches, cross-disciplinary collaboration, familiarity with LLMs or NLP for social science applications beyond prompt engineering, and interest in defense and intelligence-relevant research. Desired technical skills include Python NLP/ML libraries, HPC clusters, Google Cloud Platform, LLM APIs, statistical analysis, and software engineering practices.
How to apply
Submit an electronic application through Interfolio with a cover letter, CV, and contact information for three references. Optional materials may include a research statement and two or more peer-reviewed publications. Applications are reviewed first by the initial deadline and then on a rolling reserve-pool basis until filled.
More information can be found here
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