"Postdoctoral Associate in Theoretical Foundations of Data Science and AI"

Description

The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI.

The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, 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

This position can be filled at either the Postdoctoral Associate level, depending on qualifications. The appointment is for two years, with the possibility of renewal.

Requirements:

• Ph.D. in Mathematics, Computer Science, Engineering, or a related field

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a maximum three pages summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.

Further questions may be directed to Professor Pierre Youssef at yp27@nyu.edu.