Phd Position

il y a 17 heures

Paris e, France Jaylo.io Temps plein

**Thesis Topic**:
Development of an imperceptible and durable watermark for the security and authentication of physical objects through an invisible physical signature.

In the context of increasing counterfeiting of high-value products (luxury goods, pharmaceuticals, cosmetics, etc.), security technologies must evolve to ensure product authenticity and traceability. This CIFRE PhD thesis aims to develop a robust and imperceptible physical watermark that can be directly integrated into the texture of products or their packaging. The watermark must be resistant to diverse manipulation and acquisition conditions (angles, lighting, capture quality).

The goal is to create a discreet and reliable marking solution that enables product authentication using standard devices like smartphone cameras.

**Thesis Context and Objectives**:
This project will be conducted in partnership with the GREYC laboratory in Normandy, specifically with the SAFE team, which specializes in cybersecurity. SAFE’s research activities cover three main areas, seamlessly combining theoretical and practical aspects:

- **Biometrics**: Definition and evaluation of biometric systems, as well as biometric data protection.
- **Security Architecture and Models**: Network security (IoT, SDN, 5G), applied cryptography, randomization, and information protection.
- **Forensic Science**: Natural Language Processing, forensic platforms, and privacy protection.

**Main Responsibilities**:

- **Research and Modeling**: Develop an analytical framework for creating invisible watermarks embedded in object textures, using image processing methods with an exploratory approach to deep learning for certain robustness aspects.
- **Development and Simulation**: Build and test watermark integration models based on physical analysis and advanced simulations.
- **Optimization and Validation**: Experimentally validate the solution in varied test environments to ensure watermark durability against physical wear, such as abrasion, handling, and lighting variations.
- **Academic Background**: Master’s degree in image processing, computer science, materials science, or applied engineering.
- **Skills in Computer Vision and Image Processing**: Knowledge of image processing techniques, texture analysis, and similarity metrics.
- **Python Development**: Experience with Python development following best practices, including modular code organization, use of version control (e.g., Git), unit testing, and code documentation for high-quality, maintainable code.
- **Scientific Communication**: Excellent written communication skills in both French and English, with an aptitude for conveying technical concepts and sharing them with the scientific community.

**Working Conditions**:
The PhD student will split their time between our R&D center and the GREYC laboratory in Normandy, working within the SAFE team, which focuses on data and object security. This environment allows for collaboration with experts in biometrics, cryptography, network security, and forensic science.

Type d'emploi : Temps plein, CDI
Statut : Cadre

Rémunération : 30 000,00€ à 40 000,00€ par an

Avantages:

- Prise en charge du transport quotidien
- RTT

Horaires:

- Flextime

Lieu du poste : En présentiel

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