PIRAMES (Privacy and Resilience in a Mobile Applications Environment for E-Health)
- Troyes, Aube
- CDD
- Temps-plein
- Implementation of impact analysis methods focused on data protection, evaluating the potential consequences of different actions on information security.
- Dedicated solutions for proactive identification of data leaks, accompanied by protective measures aimed at preventing and countering these security incidents.
- Advanced methods of data identification and classification, focusing on personally identifiable information (PII) and its sensitivity.
- Utilization of concepts from graph theory, including construction, overlay, and establishment of similarity criteria, to optimize data structuring.
- Integration of elements and techniques of artificial intelligence, including Machine Learning and Deep Learning, to enhance the analysis and adaptability capabilities of our solutions.
- Development of approaches aiming to design, measure, and improve the resilience of application solutions, thereby ensuring their robustness against various challenges.
- Detailed description of the hardware architecture necessary to implement a software prototype, thus ensuring a practical and efficient implementation of our solutions.
- Design of innovative services, in strict compliance with GDPR regulations, guaranteeing data protection at all stages of their lifecycle.
- Development of software applications derived from our research solutions, offering concrete and functional applications designed to meet the specific needs of the e-health domain.
Statut de salarié
PHD title: Doctorat en Sciences pour l'Ingénieur, spécialité Optimisation et Sûreté des Systèmes
PHD Country: FranceRequirementsSpecific RequirementsStudent in computer science (master's degree or engineering school) with solid skills in one of the following areas:
- Information technology and information systems security
- Models for anomaly detection and data classification
- Design of security models to identify potential data leakage channels
- Resilient approaches that enhance the security of e-health systems and protect users' privacy.
- Design of mobile applications
- Artificial intelligence approach to address security and privacy challenges in the e-health domain
- Graph theory and use of visualization tools
- Use of mobile devices in the healthcare field
EURAXESS