PhD Students in Cybersecurity (m-f-d)

Each PhD student shall provide a major contribution to novel concepts in one or two of our technical domains, including security assurance, smart (model-based) security testing, forensic readiness, semi-formal approaches, AI for cybersecurity, cybersecurity for AI, digital twins, cyber-physical systems with 3D-modeling with avatars, cybersecurity for Electrical Power Systems and cybersecurity for smart grid.

Our R&D project teams are supported by University and Institute Partners, each with their own PhD students in the joint projects.

Each PhD student is expected to get deeply involved into an analytical part (e.g. security and AI modeling, attack-tree analysis, smart fuzzing) and a practical industrial automation part, including a SCADA platform.

Transversal topics related to operating systems, software frameworks, network security, FPGA technology, IIoT security, security metrics, security grading, digital forensics, etc. will be jointly addressed by multiple PhD students.

The PhD students will publish and present generic results, as part of the funding is external.

The PhD students are encouraged to co-mentor students doing their Master Thesis, Bachelor Thesis, mandatory internship or university requested research project with us.

• Computer Science (or programming related), Information Security, AI
• Electrical Engineering, Industrial Automation with initial software development experience
• English and German language proficiency is expected

Everyone is welcome – regardless of gender, origin or disability. Diversity enriches our team.

Spécialité : TAL - Contrôle commande et Instrumentation nucléaire

Niveau d’études (tous) Bac+4

Lieu : Allemagne, Bavière - Erlangen, Erlangen