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PhDs and Postdocs

4 positions research assistance (praedoc) full-time (m/f/d) - subject to authorization

befristet bis 28.02.2025

Entgeltgruppe 13 TV-L FU, 100 %

Kennung: WiMi UltraSec

Selbstdarstellung:

The Cybersecurity and AI Group (former Heisenberg Communications and Information Theory 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. 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: www.mi.fu-berlin.de/en/inf/groups/ag-comm/index.html. The Information Security group at Freie Universität Berlin, directed by Prof. Dr. Marian Margraf, deals with the design, creation and evaluation of usable and secure software and IT systems. The main areas of focus of the working group are: cryptoanalysis, applied cryptography, Usable Privacy and Security, Privacy preserving machine learning, Secure Systems Engineering and IT security management. For further details see: https://www.mi.fu-berlin.de/inf/groups/ag-idm/index.html

Aufgabengebiet:

UltraSec is a research project focusing on the immensely potential Ultra Wide Band (UWB) wireless technology. The collaborative project consists of partners from leading academia, IoT and security centric startup, research institute, and industry. The group is seeking FOUR PhD candidates, from the following topics (one candidate from each topic): A. Cryptographic security, post-quantum codes and signatures B. AI- based anomaly (threat) detection and attacker identification and localisation with high-dimensional data C. System and security architecture development and its security evaluation D. Radio- fingerprint based identity management Within this research work, different technical fields 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 implementation of security architecture for UWB based IoT-development platform thereby closely collaborating with the partners in the consortium. 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.

Einstellungsvoraussetzungen:

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

(Berufs-)Erfahrung:
Erwünscht:
  • Desirable (for position A.): Solid mathematical background in classical cryptography, post-quantum cryptography, and good coding skills in C/Go/Rust/Python/MATLAB. General understanding of coding quality and solid practice of source code and project management tools (Git, Travis-CI etc) is a plus. Ability and willingness to work and cooperate with the members of group and the project consortium.
  • Desirable (for position B.): Profound theoretical knowledge in AI, deep learning, threat modelling, and good coding skills in either Python, TensorFlow (or PyTorch). General understanding of coding quality and solid practice of source code and project management tools (Git, Travis- CI etc) is a plus. Ability and willingness to work and cooperate with the members of group and the project consortium.
  • Desirable (for position C.): In depth theoretical and practical knowledge in networks, Architecture and protocol development, and good coding skills in C, Python, JavaScript, NodeJS. General understanding of software quality and solid practice of source code and project management tools (Git, Travis-CI etc) is a plus. Ability and willingness to work and cooperate with the members of group and the project consortium. 
  • Desirable (for position D.): In depth theoretical and practical knowledge in Wireless technologies, Signal Processing, Networks, and good coding skills in C, Python. General understanding of software quality and solid practice of source code and project management tools (Git,Travis-CI etc) is a plus. Ability and willingness to work and cooperate with the members of group and the project consortium.

Applications should be sent electronically by e-mail to g.wunder@fu-berlin.de (cc: stefanie.bahe@fu-berlin.de), preferably as a single pdf-document.

Bewerbungsadressat

Bewerbungen sind mit aussagekräftigen Unterlagen unter Angabe der Kennung im Format PDF (vorzugsweise als ein Dokument) elektronisch per E-Mail zu richten an Herrn Prof. Dr.-Ing. Gerhard Wunder: wunder@zedat.fu-berlin.de oder per Post an die

Freie Universität Berlin

Fachbereich Mathematik und Informatik

Institut für Informatik

UltraSec - Profes. Wunder, Margraf

Herrn Prof. Dr.-Ing. Gerhard Wunder

Takustr. 9 14195 Berlin (Dahlem)

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Hinweise und Anmerkungen für die Personalräte, Stellenwirtschaft oder Personalabteilung: Ausschreibung vorbehaltlich der Bewilligung des Projekts durch das BMBF.