Engineering Internship - Deep Learning for Infrared Thermography Antenna Measurements

<h2>THE POSITION</h2><p>ANYFIELDS measures antennas by infrared thermography: a thermosensitive film heated by the radiated field is imaged by an infrared camera, giving a 2D map of the electric field, nonintrusive and very close to the antenna. Two limits remain: the maps are noisy (dynamic range of 25 to 30 dB at best, 35 to 40 dB needed to retrieve side lobes and cross-polarization), and they are blurred by the response of the detector (film and optics), whose resolution is not explained by the theory.</p><p>This internship develops physics-driven neural networks, trained without any clean reference, to restore the maps, and compares them rigorously with the conventional methods already implemented.</p><p>Missions :</p><ul><li><p>Benchmark synthetic and measured datasets, reproduction of the conventional methods (wavelet denoising, drift removal, deconvolution, slanted edge).</p></li><li><p>Estimate PSF of the detector: neural network constrained by the film heat diffusion and the optics, estimated from a few measurements; explain the gap between the theoretical (about 1 mm) and measured (4 to 8 mm) resolution. Compare with conventional methods.</p></li><li><p>Implement Denoising by self-supervised deep denoising of the maps, quantified gain in dB towards 35 to 40 dB, ranking of the limiting factors of the setup.</p></li><li><p>Validate by test whether the imaging resolves the individual elements of array antennas in the Ku and Ka bands, before and after improvement. Report on the retained methods.</p></li></ul><p>You will work at the crossroads of electromagnetics, imaging and deep learning, with the engineers of the Innovation team.</p><p>Location: Toulouse (city centre)</p><p>Start: As soon as possible</p><p>Duration: 6 months</p><h2>Profile</h2><ul><li><p>Bac+5 - Engineering school / Master in applied mathematics, signal and image processing, machine learning and/or electromagnetics</p></li><li><p>Programming skills (preferably Python), experience with a deep learning framework</p></li><li><p>Knowledge of inverse problems or infrared cameras is a plus</p></li><li><p>Team spirit, proactive attitude and good communication skills in an interdisciplinary team</p></li></ul><p></p><p>Find <a href="https://www.arbeitnow.fr">Jobs in France</a> on Arbeitnow</a>