The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on a project focused on advancing AI-driven solutions for cybersecurity and cyber defense, with a particular emphasis on addressing and mitigating supply chain attacks. The research aims to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security and resilience.
TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/.

The successful candidate will:

• Conduct cutting-edge research in cybersecurity and cyber defense, focusing on AI applications for detecting and preventing supply chain attacks
• Develop and implement ML algorithms to identify vulnerabilities and predict potential threats in supply chain systems
• Prepare project deliverables and disseminate results through high-quality scientific publications
• Present findings at renowned international conferences and workshops
• Guide and mentor PhD, MSc, and BSc students working on related topics
• Support the organization of demonstrations and workshops relevant to AI-driven cybersecurity tools and techniques
• Assist in drafting research proposals to secure funding for related projects

For further information, please get in touch with Dr. Jordan Samhi (email address: jordan.samhi@uni.lu).