One PhD position is available to conduct research focused on the intersection of 
Deep Learning (DL) and Computational Fluid Dynamics (CFD).

Requirements:
1. BS/MS degree in a relative field, e.g., Engineering, Applied Mathematics, or 
Computer Science.
2. Strong theoretical background in Fluid Dynamics and Computational Methods.
3. Demonstrated programming skills in high-performance computing (HPC), 
particularly in Python or C/C++.
4. Familiarity with standard ML model architectures and workflows using major deep 
learning frameworks such as PyTorch or TensorFlow.

If you are interested, please contact me asap.