Deep Learning Intern: Infrared Thermography for Antenna Imaging

Anyfields; Toulouse; Presencial; EUR 8.900 - 13.000; Tempo integral

Resumo da vaga

Anyfields is seeking an intern in Toulouse to develop physics-driven neural networks for restoring infrared thermography maps of antenna fields. You will work across electromagnetics, imaging, and deep learning with the Innovation team, starting as soon as possible for a 6-month period.

Ideal candidates hold a Bac+5 in engineering or applied mathematics, with Python programming and experience in a DL framework.

Qualificações

• Master’s level in engineering, math, ML, or electromagnetics.
• Programming skills (preferably Python) and experience with a DL framework.
• Knowledge of inverse problems or infrared cameras is a plus.

Responsabilidades

• Benchmark synthetic and measured datasets, reproduce conventional methods (denoising, drift removal, deconvolution).
• Estimate detector PSF with a neural network constrained by physics of film diffusion and optics.
• Implement self-supervised deep denoising of maps and quantify gains in dB.
• Validate imaging to resolve individual antenna elements in Ku/Ka bands and report findings.

Conhecimentos

Deep learning

Signal processing

Team collaboration

Communication skills

Formação

Bac+5 - Engineering school / Master in applied mathematics, signal and image processing, machine learning and/or electromagnetics

Ferramentas

Python

PyTorch

Descrição da vaga

Anyfields is seeking an intern in Toulouse to develop physics-driven neural networks for restoring infrared thermography maps of antenna fields. You will work across electromagnetics, imaging, and deep learning with the Innovation team, starting as soon as possible for a 6-month period.

Ideal candidates hold a Bac+5 in engineering or applied mathematics, with Python programming and experience in a DL framework.