Phd student industrial cybersecurity

• Independently conducting scientific research, designing, and evaluating new methods
• Developing methods for AI-based automation of security validation processes
• Quantitatively and qualitatively analyzing real-world production and OT environments
• Creating proofs of concept and prototypical tools
• Publishing scientific results and presenting them at international conferences

• Good to very good university degree qualifying for doctoral studies in computer science, IT security, electrical engineering, mechanical engineering, systems engineering, or a comparable field
• Solid knowledge of cybersecurity, ideally in an industrial or OT context
• Initial experience in vulnerability analysis / penetration testing or with industrial control systems (ICS/SCADA) is desirable
• German and English language level B1
• Enthusiasm for scientific work and interdisciplinary collaboration
• High level of initiative, a structured way of working, and strong analytical thinking skills

Initial experience in vulnerability analysis / penetration testing or with industrial control systems (ICS/SCADA)

• Attractive salary
• 30 vacation days (+ 24.12. and 31.12. off)
• 35-hour week
• flexible working hours
• remote work
• Special conditions for the purchase and leasing of vehicles
• Free seminars on scientific work and interdisciplinary qualifications
• Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group