PhD Position (CIFRE) - Development of a Robust and Imperceptible Physical Watermark

Job description

À propos

Jaylo was created with a clear vision: fostering a world of augmented transparency & integrity, nurturing universal trust .

We engage in innovation to develop cutting-edge technologies for the authentication of both goods and individuals, establishing a dependable connection between physical items and their digital ecosystem. In pursuit of our objectives, we seek top-tier talent, recognizing that these individuals, like ourselves, are fundamentally human. It is crucial for us to align with individuals who share our core values.

Our values

Security

We consistently strive for innovation to foster trust, achieved through the creation of dependable, secure, and technologically advanced solutions for identification, traceability and authentication.

Innovation

We maintain a continuous focus on innovation, aiming to stay ahead of our clients' ever-evolving security requirements by proactively adopting cutting-edge technologies.

Doer

We seek individuals who are motivated by tangible achievements, maintain a sharp focus on delivering results, exhibit resourcefulness, determination, and resilience. We're on the lookout for proactive individuals who are eager to go the extra mile.

Descriptif du poste

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

Job Description:
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.

These areas offer a rich context for watermarking applications, especially in the fields of security and digital investigation. The research will involve advanced image processing techniques, with an exploration of machine learning methods, including some deep learning algorithms, to enhance the watermark’s robustness and adaptability to acquisition conditions.

Main Responsibilities:

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Research and Modeling: Develop an analytical framework for creating invisible watermarks embedded in object textures, using image processing methods.

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Development and Simulation: Build and test watermark integration models based on physical analysis and advanced simulations.

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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.

· 
Documentation and Communication: Write scientific papers, participate in international conferences, and contribute to patent applications in the case of patentable innovations.

Profil recherché

The ideal candidate is an independent individual with a strong interest in interdisciplinary and applied research, possessing the following skills:

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Academic Background: Master’s degree in image processing, computer science, machine learning, or applied engineering.

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Skills in Computer Vision and Image Processing: Knowledge of image processing techniques, texture analysis, and similarity metrics.

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Skills in Artificial Intelligence: Familiarity with machine learning methods, particularly deep learning for image processing applications.

· 
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

Statut : Cadre

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

Avantages :

· 
Flextime

· 
Prise en charge du transport quotidien

· 
RTT

Lieu du poste : En présentiel

Process de recrutement

· 
Phone call with the COO (30min)

· 
Technical interview with the CTO (1h30)

· 
Interview with the CEO (30min)

Informations complémentaires

·  Type de contrat : CDD / Temporaire (36 à 36 mois)
·  Lieu : Paris
·  Télétravail ponctuel autorisé