The Chair of Information Security at the Faculty of Computer Science is looking for a
Research Associate / Postdoc (m,f,x) for 18 months with 39,83 hours per week, TV-L E13
The newly founded Faculty of Computer Science (www.informatik.rub.de) unites all ongoing computer science activities at RUB in an interdisciplinary manner. The research and teaching area of IT security, in which our university has been a leader in Europe for over 20 years, plays a central role in the new Faculty. This is also reflected in the Cluster of Excellence CASA (www.casa.rub.de), which is funded as part of the Federal Government's Excellence Initiative, in which over 100 researchers develop effective measures against cyberattacks.
The Chair for Information Security held by Prof. Dr. Ghassan Karame has an immediate 18 months Postdoc position in the area of Machine Learning Security (currently 39.83 hours / week = 100 %).
Your tasks:
- The main task in this position is to investigate how to improve the security of machine learning and federated learning algorithms and how to securely use machine learning to secure existing platforms.
- The members of Prof. Karame's Chair conduct research and teaching in various areas of IT security. The Chair offers various courses in the Bachelor's and Master’s degree programs and participates in several third-party funded projects.
- This international and dynamic team also cooperates with several university and non-university institutions (e.g., the Max Planck Institute).
Your profile:
- Doctor in Computer Science or related field
- excellent interpersonal and communication skills in English
- background in the areas of IT security and privacy, system security, ML security and security of Federated Learning is a strong plus
- experience in software development including experience with programming languages, such as Python, Golang, Java, or C/C++ is also a plus
Our offerings:
- challenging and varied tasks with a high level of personal responsibility
- team-oriented cooperation in a committed, international and appreciative team
- a friendly and collegial environment
- a dynamic environment
- employment at one of the largest universities in Germany within the University Alliance Ruhr
Additional information:
At the request of the applicant (m,f,x), the staff council may be involved in selection interviews.
https://www.wpr.ruhr-uni-bochum.de/
If the position is funded by third-party funds the employee has no teaching obligation.
German language courses are offered by the University Language Center (ZfA) in the field of German as a Foreign Language (DaF).
https://www.zfa.ruhr-uni-bochum.de/
Contact details for your application:
Herr Prof. Dr. Ghassan Karame, Phone: +49 234 32-24284
Rebecca Pfeiffer-Kroll, Phone: +49 234 32-24284
Travel expenses for interviews cannot be refunded.
For information on the collection of personal data in the application process see:
https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process.
Please send your complete application documents (recent CV, a cover letter describing why you are a good fit, and a transcript of your records) in the form of a single PDF document (max. 10 MB)
with the specification ANR: 2590 until 11/12/2023, send by e-mail to the following address:
inf-infsec@rub.de
Extent:
full-time
Duration:
temporary
Beginning:
as soon as possible
application deadline:
11.12.2023
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.