Area of research:

Scientific / postdoctoral posts

Starting date:

07.07.2023

Job description:

The "Intelligent System Security" research group works at the intersection of machine learning and computer security. We develop learning-based methods for attack detection on different levels or the discovery of vulnerabilities in software. Moreover, we research the robustness and security of machine learning methods themselves. Here, we are particularly looking for reinforcing our team.

Possible research topics include, but are not limited to:

• Attacks against learning-based systems
  • ML backdoors
  • Adversarial examples
  • Model stealing
• Secure and robust learning methods
  • Adversarial training
  • Certified robustness
• Explainability of machine learning in computer security (XAI)
  • Attacks against XAI methods
  • Development of robust XAI methods

All Ph.D. students will be members of the “KIT Graduate School Cyber Security”.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.