Emplois actuels liés à PhD Student in IoT Security - Villeneuved'Ascq, Hauts-de-France - INRIA
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsWe are seeking a highly motivated PhD candidate to join our team at INRIA and work on a project focused on robust reinforcement learning and privacy in sequential decision making. The candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie.As RL algorithms are being deployed in real-life...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinResearch Context and ObjectivesThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms for applications in oncology. The successful candidate will contribute to the research and development of these algorithms in collaboration with the MAGNET team and project partners.Key ResponsibilitiesContribute to the...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContexte et ObjectifsL'Institut national de recherche en informatique et en automatique (INRIA) recherche un PhD étudiant pour rejoindre son équipe de recherche dans le domaine de la sécurité des réseaux IoT. Le candidat sélectionné contribuera à l'amélioration des solutions de détection d'anomalies et de mitigation des attaques dans les réseaux...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and OpportunitiesWe are seeking a highly motivated PhD candidate to join our team at INRIA and contribute to the development of robust reinforcement learning algorithms for privacy and reliability in sequential decision-making. The successful candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie.As RL...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms. The successful candidate will work in the MAGNET team at INRIA, collaborating with European project partners.With the increasing use of AI, there is a growing concern about potential risks and abuses. Research directions...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Benefits of the PositionThe PhD candidate will be supported by the PEPR project FOUNDRY and supervised by Debabrota and Emilie, affiliated with the INRIA.As RL algorithms are being deployed in real-life, questions arise about responsible deployment, such as robustness to noise and perturbation in the feedback from the environment, and privacy if...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinJob Context and RequirementsThis PhD position is part of a project that aims to develop privacy-preserving federated learning algorithms. The successful candidate will work in the MAGNET team at INRIA, collaborating with European project partners.With the increasing use of AI, there is a growing concern about potential risks and abuses. Research directions...
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Villeneuve-d'Ascq, Hauts-de-France INRIA Temps pleinContext and Advantages of the PositionThe postdoctoral researcher will be part of the INRIA team and will work under the supervision of Debabrota on the project Reinforcement Learning and Bandits under Structures and Constraints.The researcher will investigate the impact of different types of constraints and structures on the performance and design of bandit...
PhD Student in IoT Security
Il y a 2 mois
Context and Opportunities
The PhD student will be co-supervised by Valeria Loscri (FUN Team) and Kevin Jiokeng (École Polytechnique) in the context of the National project NEMIoT (NEtwork Methods for IoT). This project aims at developing new methods to increase trust in IoT devices before and after their deployment on existing network infrastructures.
Primary Objective
The primary objective is to develop original cross-layer solutions to finely and quickly detect and/or mitigate potential anomalies resulting from the introduction of IoT devices.
Main Activities
- Study of the State of Art of anomaly/attack detection in IoT systems
- Characterization of IoT devices behavior through Machine Learning approaches
- Design of new cross-layer detection approaches in IoT architectures
- Validation of the solutions via simulation and experiments
Additional Activities
- Writing reports
- Participation to the deliverables writing
Requirements
The PhD student will have a strong background in computer science, network security, and machine learning. The candidate should have a good understanding of IoT systems, network protocols, and security threats.
Benefits
- Subsidized meals
- Partially reimbursed public transportation
- 7 weeks of annual leave + 10 days of RTT (full-time) + possibility of exceptional leave (e.g., sick children, moving)
- Opportunity to work remotely and adjust working hours
- Professional equipment available (video conferencing, loan of computer equipment, etc.)
- Prestations sociales, culturelles et sportives (Association de gestion des œuvres sociales d'Inria)
- Access to professional training
- Social security
Salary
The salary will be 2100€ brut per month for the first two years and 2190€ brut per month for the third year.
