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 group offers TWO positions in the field of privacy-preserving deep federated learning using blockchain and smart contracts, particularly its mathematical foundations for operational and security analysis. The main objectives are i) to jointly develop a decentralized federated learning and trust management blockchain network architecture and the corresponding algorithms for supply chain purposes, and ii) to implement (together with partners) a proof of concept platform (cloud, smartphone, IoT sensors) which demonstrates the full learning capabilities comparable to centralized architecture for the mentioned use cases but complies with privacy and trust attributes from the blockchain network. The candidates are expected to develop a respective theoretical arsenal for performance and privacy guarantees as well as guiding the implementation process. For leveraging and testing the platform the partners have access to food-related IoT data from major food stakeholders which can be used or emulated within multiple IoT vertical silos. 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 deep learning as well as good understanding of (information-theoretic, cryptographic) security. Applicants with additional skills in blockchain analysis (e.g. queueing theory or any other) will be given preference.
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.
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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