Cybersecurity
Work description
The work plan includes an in-depth study of tools, infrastructures, and methodologies associated with the collection, processing, and feature extraction of data from both open and closed sources. Particular attention will be given to the automatic detection of anomalies in real-time data, through the design and implementation of methods suitable for streaming contexts. In parallel, strategies for adversarial attacks on Artificial Intelligence models will be analysed and defined, with the goal of understanding vulnerabilities and developing appropriate defence mechanisms. This work will culminate in the development of a prototype that integrates these components, including human participation in the decision-making loop ("human-in-the-loop"), promoting a more robust, transparent, and adaptable system.
Academic Qualifications
MSc in Computer Science, with a specialization in Cybersecurity and Artificial Intelligence.
Minimum profile required
One scientific article published in a Q1 journal or equivalent (from WoS).
Preference factors
Scientific publications in the areas of Host Intrusion Detection and Stream-based Artificial Intelligence.
Application Period
Since 26 Jun 2025 to 09 Jul 2025
Centre
Advanced Computing Systems