Learning to focus: Physics-Informed Deep Learning for Super-Resolved Ultrasonic Phased-Array Imaging H/F

Position description

Category

Mathematics, information, scientific, software

Contract

Internship

Job title

Learning to focus: Physics-Informed Deep Learning for Super-Resolved Ultrasonic Phased-Array Imaging H/F

Subject

The internship aims to design a physics-informed deep learning framework for super-resolved ultrasonic imaging, extending the Total Focusing Method (TFM) beyond its physical and algorithmic limitations. By learning adaptive focusing laws, modeling uncertainties, and incorporating modern architectures like transformers, the project will create interpretable and generalizable imaging models that outperform classical methods in both accuracy and speed.

This research will contribute to next-generation ultrasonic inspection systems capable of detecting minute defects in complex materials—enhancing reliability in high-stakes indu...