Internship - Tampered text detection

Job description:

We are looking for a motivated intern to design, implement, and evaluate deep learning algorithms capable of detecting text modifications created by text-editing algorithms also known as tampered text detection. The goal is to develop a solution that can detect a wide range of text-editing techniques accurately and with high speed.

The intern will join a team working on advanced algorithms for identity document authentication, contributing to important projects in document security.

Key Missions

• Research and understand existing methods for tampered text detection
• Design and implement novel deep learning models to detect text alterations
• Evaluate and benchmark model performance across various text-editing algorithms
• Collaborate with the team to integrate solutions into authentication workflows

Profile description:

Education

• Engineering student in the final year of the engineering cycle, or a Master's student specializing in deep learning, computer vision, and image processing.

Technical Skills

• Strong foundation in image processing, computer vision, and deep learning (preferably with PyTorch)
• Experience or strong interest in natural language processing and text-based AI techniques is a plus

Soft Skills & Languages

• Curious, proactive, and autonomous
• Excellent communication skills in English, both written and spoken