Postdoctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI)

The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi is seeking a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will join the Foundations Cluster of CIDSAI and collaborate closely with Professors Saurabh Ray, Keith Ross, and 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

Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)

Work Conditions: Temporary position for two years, with the possibility of renewal. Highly competitive terms of employment including housing and educational subsidies for children.

Requirements:

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

To apply, candidates must submit:

• A cover letter
• Curriculum vitae
• Transcript of degree
• A summary of research accomplishments and interests (maximum three pages)
• At least two letters of recommendation, all in PDF format.

Language Requirements: Not explicitly stated, but proficiency in English is typically expected in academic environments.

Applications will be accepted immediately, and candidates will be considered until the position is filled. For further questions, please reach out to Professor Pierre Youssef at [email protected].