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Computational Social Science and Artificial Intelligence● OpenPostdocPreview

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.

New York University Abu Dhabi · Abu Dhabi, United Arab Emirates · R2 · Recognised researcher
More professors at New York University Abu Dhabi
Societal impact of AI and large language modelsOnline-platform audits and misinformationScience of science and institutional decision-makingSocial networks and collective behaviorComputational methods for social outcomes
This is a postdoc position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
Salaried
Competitive salary with comprehensive benefits package including relocation allowance, health services, and professional development support
Start date
Flexible; appointment terms specified in formal offer
Full-time
Location
Abu Dhabi
United Arab Emirates

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.

Computational Social ScienceAI GovernanceOnline Platform AuditsCausal InferenceSocial Network AnalysisLarge Language ModelsInterdisciplinary ResearchReproducible Research

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

Required skills
  • 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
Nice to have
Researchers who bridge technical methods with social-science theory or cross-disciplinary boundariesCandidates with experience building original datasets, experimental platforms, or research softwareThose with expertise in multilingual, cross-cultural, or globally comparative workExperience in developing reproducible research workflows and open-science practices
Eligibility
  • 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

Type
Salaried
Amount
Competitive salary with comprehensive benefits package including relocation allowance, health services, and professional development support
Duration
Fixed-term contract with flexible start date; renewal terms specified in formal offer
Programme
New York University Abu Dhabi
New York University Abu Dhabi

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.

Documents required
  • 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
↗Apply on site

Contact

Talal Rahwan· Associate Professor and Lab Lead

talal.rahwan@nyu.edu

https://www.trahwan.com/

TR
Prof.
Talal Rahwan
Division of Science
Lab
Data Science and AI Lab
New York University Abu Dhabi
United Arab Emirates
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