The proliferation of digital and human-centric systems, spurred by the introduction of 5G communications, Internet of Things (IoT) and Cloud Computing technologies, is posing unprecedented challenges in terms of cybersecurity, with plenty of software and hardware vulnerabilities that attackers are eager to find and exploit. In this context, Artificial Intelligence (AI) is offering powerful instruments (e.g. Deep Learning) to effectively detect attack patterns and discover threats.
With this PhD scholarship, we are seeking candidates that will carry out research and development activities aimed at defining and implementing novel AI-based methods and platforms to secure modern networked systems.
We are therefore encouraging applications from candidates with solid knowledge of the networking, security and AI basics, skilled in programming, eager to work within a vibrant team and on cutting-edge technologies. Successful candidates will also have the opportunity to develop relevant expertise on Software Defined Networks (SDN) and programmable data planes (extended Berkeley Packet Filter – eBPF, P4), as well as on cloud-native technologies (microservices and serverless architectures, linux containers, container orchestration).