Research Assistant / PhD Student (f/m/d) in the field of Computer Security and Machine Learning
Institute of Information Security and Dependability (KASTEL)
The "Intelligent System Security" research group works on the application of machine learning in the area of computer security. In particular, we develop methods in the area of application security and system security, as for instance, attack detection or vulnerability discovery in software and embedded devices. Other central and important subjects of our research are the robustness, security, and interpretability of machine learning methods.
This position puts focus on computer security. Possible research topics thus include, but are not limited to:
- The analysis of attacks and malware using machine learning
- Assisted discovery of vulnerabilities
- Fuzz Testing (Fuzzing) using machine learning
- Explainability of machine learning in computer security
zum nächstmöglichen Zeitpunkt / as soon as possible
You have a Diploma or Master's degree in computer science or any related field. You also require very good knowledge in computer security and/or machine learning. Above all, however, you need to show enthusiasm for conducting research on cutting-edge topics in machine learning and computer security.
The remuneration occurs on the basis of the wage agreement of the civil service in TV-L E13, depending on the fulfillment of professional and personal requirements.
limited for 18 months (While the position is limited at first, extending the contract to the entire duration of the PhD is possible and intended.)
Application up to
November 15, 2021
Contact person in line-management
For further information, please contact TT.-Prof. Christian Wressnegger, e-mail: firstname.lastname@example.org.
Make sure to point out why you are a good fit for us and research in the field of IT-Security.
vacancy number: 2146/2021
We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.
Recognized severely disabled persons will be preferred if they are equally qualified.