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Job Description

The candidate will use different AI techniques to model, understand, predict and control various dynamical systems. Such systems can be related to fluid transport phenomena at different scales, ranging from suspensions of bacteria to school of fish to atmospheric dynamics.

Qualifications

1. Substantial experience in generative AI, various machine learning architectures, imaging processing.

2. Programming skills are required. Experience in python, Fortran, C++ and parallel computing are a plus.

3. Good publication record in peer-reviewed journals and conferences in computer science.

4. A Ph.D. degree in relevant fields related to Mechanics, Applied Mathematics, and Computer Science.