Internship - Physics-Driven Neural Networks for Antenna Imaging

This internship focuses on developing physics-driven neural networks to restore noisy infrared thermography maps used for antenna measurements. The role involves benchmarking datasets, estimating detector point spread functions, and implementing deep denoising techniques to improve image resolution. The successful candidate will validate imaging performance on array antennas and compare results with conventional methods.