PhD position in applied cryptography

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy in the Internet. Examples include fighting cyber threats (e.g., ransomware, phishing, denial of service attacks, scanning for system vulnerabilities), identifying and mitigating network and Web vulnerabilities (e.g., unauthorized access, user tracking), and assessing the adoption of user data protection regulations (e.g., GDPR) in the wild. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US.

Our group conducts research in a range of cybersecurity topics, including, secure data analytics, applied cryptography, privacy, cloud security, system security, and network security. We aim to make the world a safer place as most of our activity and data move online. We design, develop, and evaluate interdisciplinary solutions that combine all fields of computer sciences: artificial intelligence, systems, and theory. Examples include the development of deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large scale distributed denial of service attacks, and analysis of the latest security threats. We aim to publish our results at top conferences and journals, transfer our scientific know-how and technologies to students and our public and private partners in the field of cybersecurity, and have impact in society and the research community.

This position aims to develop practical and cryptographic solutions. You may explore how to design lattice-based cryptographic tools to adapt to multi-sector and cross-border data sharing, and further you may provide provable security for the proposed solutions in the game-based, or universal composability model. You may only need to focus on the theoretical design and development, while the industrial partners will fully implement the designs. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our collaborators in Europe and the US.

The position is supported by the Horizon Europe project TANGO. The project will establish a stronger cross-sector data sharing, in a citizen-centric, secure and trustworthy manner, by developing innovative and environment-friendly solutions. It focuses on the deployment of trustworthy, accountable and privacy-preserving data sharing technologies and platforms, the creation of data governance models and frameworks, and the improvement of data availability, quality and interoperability.