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PhD Physical Layer Security and Deep Learning

NEW (updated 19.04.2021)


The PhD or Postdoc 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.B.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. Relevant work, e.g.:

  • R. Fritschek, R. Schäfer, G.Wunder, Deep Learning for the Gaussian Wiretap Channel, IEEE ICC’19, online: https://arxiv.org/abs/1810.12655, 2019

  • R. Fritschek, R. Schäfer, G.Wunder, Deep Learning for Channel Coding via Neural Mutual Information Estimation, IEEE SPAWC’20, online: https://arxiv.org/abs/1903.02865, 2020


Applicants must possess a master degree in computer science, mathematics, electrical engineering or similar, with i) profound theoretical knowledge in any of the above fields and ii) good coding skills in C, C++, Python, TensorFlow or PyTorch. Ability and willingness to work and cooperate with the members of group.


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.

Application process

To be considered please send a short cover letter  outlining your background, a detailed CV including possibly some references, and all relevant certificates to g.wunder@fu-berlin.de (cc: stefanie.bahe@fu-berlin.de).

Please note:

By submitting an online application, you agree to process and electronically store your data. Please note that the Free University of Berlin cannot take responsibility for the security of unprotected transmitted personal data send electronically.