Postdoctoral Associate in Computational Social Science and AI
Join NYU Abu Dhabi’s Data Science and AI Lab to advance interdisciplinary research at the intersection of AI, human behavior, and societal impact.
Best for:Best for postdoctoral researchers with a PhD in computer science, social sciences, or related fields, who excel in interdisciplinary research, computational methods, and publishing high-impact work.
Overview
This postdoctoral position at New York University Abu Dhabi (NYUAD) invites technically skilled researchers to contribute to the Data Science and AI Lab, led by Associate Professor Talal Rahwan. The lab explores consequential questions about AI’s societal effects, online-platform governance, misinformation, and collective behavior using computational, experimental, and theoretical methods. The role emphasizes independent research, from question formulation to publication, with substantial freedom to propose ambitious, interdisciplinary projects. Ideal candidates combine deep expertise in one or more areas—such as AI auditing, causal inference, or social network analysis—with intellectual curiosity and a commitment to rigorous, reproducible research. The position offers access to high-performance computing resources, interdisciplinary collaboration, and a vibrant academic community in a global research hub.
What you'll do
- Develop and lead original research projects from conceptualization to publication, aligning with the lab’s interdisciplinary mission
- Design and execute observational studies, platform audits, computational analyses, or experiments to address key research questions
- Build and maintain reproducible data-collection and analysis pipelines, ensuring transparency and documentation
- Author high-impact manuscripts for interdisciplinary or disciplinary venues and present findings at major conferences
- Collaborate across disciplines, mentor junior researchers, and contribute to research proposals or shared infrastructure
- Engage with NYUAD’s global network and participate in professional development opportunities
Requirements
Degree required: PhD in Computer Science, Information Science, Data Science, Network Science, Computational Social Science, Economics, Political Science, Psychology, Sociology, Communication, Human-Computer Interaction, Statistics, Applied Mathematics, or a closely related discipline
Language: English; excellent written and spoken proficiency required
Instruction: English
Publications: Substantial research output with evidence of leading contributions; publication records assessed relative to career stage and disciplinary norms
- Proven ability to define and execute original, rigorous research with at least one substantial output demonstrating a leading contribution
- Strong quantitative and computational skills, including proficiency in Python, R, or equivalent research languages
- Experience with large-scale data collection, statistical modeling, or computational text/image analysis
- Familiarity with machine learning, natural-language processing, or AI platform evaluation
- Knowledge of causal inference, experimental design, or network science methods
- Experience with survey, online, laboratory, or field experiments involving human participants
- Must have completed all PhD requirements before the start date
- Must be less than 5 years post-PhD receipt
- No restrictions on nationality, but UAE nationals are encouraged to apply
Funding & terms
How to apply
Deadline: 2026-10-31 · open until filled
Submit a one-page cover letter, CV with complete publication list, two representative research papers, transcript of latest degree, a two-page research and fit statement, and three reference contacts through the official NYU recruitment portal. The research statement must detail prior contributions, connections to the lab’s work, a proposed ambitious project, and its broader significance. Reference letters are requested only for shortlisted candidates.
- Cover letter (one page)
- Curriculum Vitae with complete publication list
- Two representative research papers or working papers
- Transcript or copy of latest degree
- Research and fit statement (two pages)
- Names and contact information for three academic or professional references
Contact
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