Research Opportunities
Artificial Intelligence
Work description
- Identify potential poisoning vulnerabilities in the use of federated learning with respect to attacks, in particular poisoning attacks. - Consider scenarios with time series and movement data. - Propose and evaluate solutions for attack detection and mitigation. - Submit a paper in conference.
Academic Qualifications
PhD in Computer Science, Informatics Engineering, Artificial Intelligence or Data Science.
Minimum profile required
Research experience with time series and federated learning.
Preference factors
Publications in Machine Learning (at least 1 journal publication as first author in AI in a Q2 or upper journal – scimago, at least 2 conference papers in CORE).
Application Period
Since 20 Mar 2025 to 02 Apr 2025
Centre
Artificial Intelligence and Decision Support