Fachbereich Mathematik und Informatik - Institut für Informatik Cybersecurity and AI Group (former Heisenberg Communications and Information Theory Group)2 positions research assistance (praedoc) (m/f/d) full-time job limited to 31.07.2025 (subject to authorization) Entgeltgruppe 13 TV-L FU Kennung: WiMi 6G-RIC Bewerbungsende: 15.11.2021

The Cybersecurity and AI Group at Freie Universität Berlin, Department of Mathematics and Computer Science, is directed by Prof. Dr.-Ing. habil. Gerhard Wunder and supported by Bundesdruckerei GmbH (former Heisenberg Communications and Information Theory Group). Main working areas are AI, deep learning and information theory for security, privacy and identity with application in IoT, 6G, block chains, post-quantum codes, deep fake detection, data base compression and many more. You can find further details at

http://www.mi.fu-berlin.de/en/inf/groups/ag-comm/index.html .

Job description:.

Germany is laying the foundations of 6G with the new research innovation cluster “6G-R funded with 70M Euro and 32 partners. Within this cluster the FU C-AI group seeks TWO PhD candidate positions in the fields
i) 6G physical layer security, specifically post-quantum codes and signatures as well as radiometric fingerprinting
ii) 6G network AI-based anomaly detection and feature extraction in high-dimensional data space.
Within this research, different disciplines such as information theory, post-quantum cryptography, advanced signal processing will be explored, AI tools play a pivotal rule in both fields. The PhD candidates contribute to the theoretical foundations, design, and experimental validation of 6G cybersecurity and privacy-by-design architecture and mechanisms thereby closely collaborating with the partners in the cluster. Candidates are expected to co-author articles published in high-quality academic venues such as IEEE/ACM conferences and journals. Within the framework of the externally funded research project, the opportunity for writing a doctoral-thesis is granted.

Requirements:
Applicants must possess a master degree in computer science, mathematics, electrical engineering or similar.

Desirable:

Profound theoretical knowledge in any of the above fields (AI, deep learning, information theory, post-quantum cryptography, signal processing) and good coding skills in either C, Python, TensorFlow (or PyTorch). General understanding of software quality and solid practice of source code and project management tools (Git, GitHub, Travis-CI etc) is a plus. Ability and willingness to work and cooperate with the members of group and the 6G-RIC consortium.