OFFER REFERENCE 1624-135688
Open | 04/07/2024 |
Deadline | 10/07/2024 |
Indefinite contract
Work to be performed
Efficient and Privacy-Preserving Collaborative Intrusion Detection for 6G Communications.
Functions to be performed
- Research in collaborative and anomaly-based intrusion detection and privacy-preserving technologies.
- Journal publications.
- Research in federated learning for anomaly detection.
- Research in integration of multi-party computation and homomorphic encryption.
- Build a holistic view and detect intrusions with low false positive and false negative rate in contrast to baseline non-intelligent systems.
- Implement prototypes in Linux based devices (hand-held), edge and embedded devices. Develop ML algorithms, considering the computation overhead.
- Attending meetings.
- Writing documentation.
- Designing software and validate.
- Managing the project.
Required qualifications: Master’s degree in Telecommunications Engineering, Computer Science, or a related field (Meeting requirements to pursue a PhD).
Gross monthly salary: 2.694,44 € (including the apportionments of extra payments)
Workday: 37.5 hours per week
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