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# Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial

- **Company:** New York University
- **Location:** Baltimore, MD, United States
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Reinforcement Learning, Large Language Models, Deep Learning, Information Technology, Formal Methods, Markov
- **Published:** August 4, 2026
- **Apply:** https://jobs.chronicle.com/apply/38019790/post-doctoral-associate-in-the-center-for-interdisciplinary-data-science-and-artificial?LinkSource=JobDetails

## About the Role

Requirements: PhD in Mathematics, Computer Science or related fields, with no more than five years post-receipt of PhD.

## Description

The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in the theoretical foundations of data science and AI., * Conduct research on automated reasoning and proof checker, AI-assisted collaboration.

 * Develop and analyze algorithms for learning and optimization.
 * Participate in collaborative research projects and mentoring.
 * Contribute to academic publications, reports and seminars

The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, and Professor Pierre Youssef. We are particularly interested in candidates with a strong mathematical background and expertise in one or more of the following areas:

 * High-dimensional probability and concentration/functional inequalities
 * Markov processes and stochastic analysis
 * Theoretical analysis of neural networks and deep learning
 * Foundations of reinforcement learning and bandit algorithms
 * Mathematical and algorithmic perspectives on large language models
 * Statistical learning theory and complexity analysis
 * Automated theorem proving and formal methods
 * Random matrix theory and its applications in modern AI systems


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