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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Talal Rahwan - **Company:** New York University - **Location:** Saint Davids, PA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Computer Simulation, Image Analysis, Information Engineering, Digital Technology, Game Theory, Human-Computer Interaction, Information Sciences, Machine Learning, Natural Language Processing, Recommender Systems, Web Platforms, High Performance Computing, Large Language Models, Generative AI, Information Technology - **Published:** October 1, 2026 - **Apply:** https://jobs.chronicle.com/apply/38045014/post-doctoral-associate-in-the-division-of-science-computer-science-dr-talal-rahwan?LinkSource=JobDetails ## About the Role The successful candidate will have substantial freedom to propose new directions that fit the lab's broader mission. We are particularly interested in projects with clear conceptual novelty, rigorous identification, broad interdisciplinary relevance, and the potential to influence both scholarship and practice., Applicants must have completed all requirements for a PhD before the start date and be less than 5 years post-receipt of the doctoral degree. Relevant fields include 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., * Evidence of the ability to define and complete original, rigorous research, including at least one substantial output for which the applicant can explain a leading contribution * Strong quantitative and computational skills, including reproducible programming in Python, R, or an equivalent research language * Excellent written and spoken English, intellectual independence, and the ability to collaborate effectively across disciplines; * A commitment to ethical, transparent, and reproducible research * Methodological fit * Applicants should bring deep expertise in at least one of the following. No candidate is expected to cover the full list ## Description The Data Science and AI Lab at New York University Abu Dhabi (NYUAD), led by Associate Professor Talal Rahwan, invites applications for a Postdoctoral Associate in Computational Social Science and Artificial Intelligence. The lab models, simulates, and analyzes social phenomena using computational, experimental, and theoretical methods. We pursue consequential questions at the intersection of artificial intelligence, human behavior, social networks, institutions, and large-scale digital systems. Recent projects span the societal effects and governance of AI, online-platform audits, misinformation and political communication, science of science, scientific inequality, collective behavior, human-machine cooperation, algorithmic privacy, and new methods for discovering social heterogeneity. We seek a creative, technically strong researcher who can turn an important question into a rigorous study and lead it from conception to publication. The position is deliberately broad: applicants do not need to match every topic or method listed below. We value deep expertise in at least one area, intellectual range, scientific ambition, and the ability to collaborate across computer science and the social and behavioral sciences. Research directions: * Societal, behavioral, and political consequences of AI and large language models, including bias, fairness, safety, governance, and human decision-making; * Audits of recommender systems, search systems, generative AI, and online platforms, including misinformation, political communication, and digital influence; * Science of science, including scientific careers, collaboration, inequality, credit, access, and institutional decision-making; * Social networks, collective intelligence, group behavior, cooperation, strategic interaction, and human-machine collectives; * New computational, experimental, or theoretical methods for measuring, explaining, and improving social outcomes at scale., * Formulate original research questions and lead ambitious projects from design through publication; * Design and execute observational studies, platform audits, computational analyses, online or field experiments, or formal models, as appropriate to the question; * Build reproducible data-collection and analysis pipelines and document methods, code, and research decisions clearly; * Write manuscripts for highly selective interdisciplinary or disciplinary venues and present findings at major conferences; * Collaborate across disciplines, mentor junior researchers, and contribute to proposals or shared research infrastructure when relevant., * Large-scale data collection, data engineering, statistical modeling, or computational text and image analysis; * Machine learning, natural-language processing, large language models, or evaluation and auditing of AI and online platforms * Causal inference, natural experiments, panel-data methods, or quasi-experimental design * Survey, online, laboratory, or field experiments involving human participants * Network science, game theory, agent-based modeling, or computational models of collective behavior Especially welcome * Candidates who combine strong technical methods with serious engagement with social-science theory, or whose training crosses conventional disciplinary boundaries; * Researchers who have built original datasets, experimental platforms, or research software, especially for multilingual, cross-cultural, or globally comparative work How applications will be evaluated: We will evaluate research quality, originality, independence, methodological rigor, clarity of thought, and the potential to lead projects of broad scientific and societal importance. Publication records will be assessed relative to career stage and disciplinary norms. Applicants from different research traditions are encouraged to apply; venue labels alone will not substitute for evidence of a strong personal contribution. Why join the Data Science and AI Lab? * Substantial intellectual freedom to develop new projects in consultation with the principal investigator; * A lab culture oriented toward ambitious questions, methodological rigor, and publication in leading general-science and disciplinary venues; * An interdisciplinary community spanning computer science, psychology, economics, political science, social research, engineering, and the humanities; * High-performance computing, GPU-enabled workflows, large-scale data processing, research storage, and technical support; * Opportunities across NYU's global network, mentoring experience, professional development, and an active postdoctoral community. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [AI for decision-making in Tech Recruiting](https://www.wearedevelopers.com/videos/1074-ai-for-decision-making-in-tech-recruiting) - [Solving the puzzle: Leveraging machine learning for effective root cause analysis](https://www.wearedevelopers.com/videos/1518-solving-the-puzzle-leveraging-machine-learning-for-effective-root-cause-analysis) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Building 10x Organizations Using Modern Productivity Metrics](https://www.wearedevelopers.com/videos/100026-building-10x-organizations-using-modern-productivity-metrics) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)