PhD position: Security and Robustness of Machine Learning

The position is fully funded with the German salary level TV-L 13 (100%) and should be filled at the soonest possible date. The position offers the possibility of funding the entire duration of the PhD.

Application up to: June 15th, 2023

Start: In the course of 2023


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.

Your Profile

You have a Diploma or Master's degree in computer science or any related field. You also require very good knowledge in machine learning and ideally computer security. Above all, however, you need to show enthusiasm for conducting research on cutting-edge topics in machine learning and computer security.

Field of Work

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 (XAI)
  • Attacks against XAI methods
  • Development of robust XAI methods


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


Please send your application including a cover letter, your CV, certificates/references, and a research proposal to . Make sure to point out why you are a good fit for us and research in computer security.

We strive for a diverse research team and ask people from all nations to join us. Moreover, qualified women are strongly encouraged to apply. Disabled persons with equivalent aptitude will be favored.