Post-Doctoral Associate, CIDSAI

About the role

The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi is recruiting a Post-Doctoral Associate to work on topics in the theoretical foundations of data science and artificial intelligence. The selected candidate will join the Foundations Cluster of CIDSAI and collaborate closely with Professor Saurabh Ray and Professor Pierre Youssef.

Key responsibilities

• Conduct research on automated reasoning and proof checking, and on 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.

Required profile

• PhD in Mathematics, Computer Science or a related field, with no more than five years after receiving the PhD.
• A strong mathematical background.
• 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.

What we offer

• Two-year appointment with the possibility of renewal.
• Housing and educational subsidies for children.
• Relocation allowance, educational assistance for dependents, and access to health and wellness services.

Applications are open immediately and are considered until the position is filled. Applicants must submit a cover letter, CV, degree transcript, a three-page summary of research accomplishments and interests, and at least two letters of recommendation, all in PDF format.