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Student Assistant (m/f/d) 41-60 h/months limited to 31.07.2024 Reference code: StudHK - TinyPart

Bewerbungsende: 22.09.2022

The project TinyPart involves three working groups at Freie Universität Berlin, Department of Mathematics and Computer Science: The Working Group Cybersecurity and AI is headed by Gerhard Wunder and supported by Bundesdruckerei GmbH (formerly Heisenberg Communications and Information Theory Group); the Working Group on Information Security is headed by Marian Margraf, and the Working Group on Open and Secure Internet of Things is headed by Emmanuel Baccelli.

Job description:
Collaboration in the German-French research cooperation “TinyPart” together with academic partners, startups and the French telecommunications company ORANGE. The work includes the implementation of Deep-learning training algorithms on low-performance, embedded RIOT-enabled devices in C/C++. This includes compiling code within the RIOT ecosystem with the cmake/make build system. Appropriate instruction in the RIOT operating system shall also take place for this purpose. For more information, please visit http://www.mi.fuberlin.de/en/inf/groups/ag-comm/index.html ; https://tinypart.github.io/TinyPART/ ; https://www.riot-os.org/

Programming knowledge in C/C++ (~ 2 years), Python. Good knowledge of the cmake-build system. Familiarity with deep learning frameworks such as tensorflow, pytorch is beneficial, but not necessary.

Weitere Informationen

All applications quoting the reference code should be directed preferably electronically in ONE PDF-file to: g.wunder@fu-berlin.de (cc: stefanie.bahe@fu-berlin.de) or postal to


Freie Universität Berlin

Fachbereich Mathematik und Informatik

Institut für Informatik


Herrn Prof. Dr.-Ing. Gerhard Wunder

Takustr. 9

14195 Berlin (Dahlem)

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Stellenausschreibung vom: 01.09.2022