The Cybersecurity and AI Group at Freie Universität Berlin, Department of Mathematics and Computer Science, is directed by 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:
The researcher will work on the extension of reciprocity-based key generation to end-to-end (E2E) communication, specifically so-called Extended Channel-Reciprocity Based Key Establishment (ECRKE) method. It uses untrusted relays (e.B. WiFi routers) and a so-called trust broker or authenticator (e.g. smartphone) to mask the channel. In this work, the information-theoretical foundations and procedures for the transmission of secrets in distance-bound channels (i.e. secret key exchange or wiretap codes or hybrid schemes) shall be developed. Various designs for the transmission mask shall be developed and tested using both theoretical analysis as well as simulation tools and our Wi-Fi SDR testbed. A key element is the design of wiretap codes based on near-field measurements using deep learning algorithms. The fundamental limits for the secrecy capacity (i.e. the rate at which a secret can be safely transmitted) are to be explored and corresponding metrics for the "correlation" to the authenticator and the untrusted relay are derived. The third-party funded research project provides an opportunity to do a doctorate
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 and good coding skills in C, C++, Python, TensorFlow or PyTorch. The candidate is expected to have a profound knowledge in the field of wireless networking (particularly Wi-Fi standards, Bluetooth standards) as well as good understanding of (information-theoretic, cryptographic) security. Additional knowledge about the fundamentals of information theory is a plus.
Applications should be sent by e-mail, together with significant documents (a short cover letter outlining your background, a detailed CV including possibly some references, and all relevant certificates), indicating the
reference code, in PDF format (preferably as one document)
no later than June 21st, 2021 to Mr. Prof. Dr.-Ing. Gerhard Wunder:
wunder@zedat.fu-berlin.de (cc:
stefanie.bahe@fu-berlin.de)
On the given occasion and for the duration of the essential on-site operations by Freie Universität Berlin, we kindly ask you to apply electronically by e-mail. The processing of a postal application cannot be guaranteed.
Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Informatik Cybersecurity and AI Group (former Heisenberg Communications and Information Theory Group)
Mr. Prof. Dr.-Ing. Gerhard Wunder
Takustr. 9
14195 Berlin (Dahlem)
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