Research assistant
vor 1 Monat
limited to 31.10.2026
pay group 13 TV-L FU
reference code: WiMi AIgenCy
The Cybersecurity and AI 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. You can find further details at:
www.mi.fu-berlin.de/en/inf/groups/ag-comm/index.html Job description:
Models (LLMs) with a strong focus on Explainability, Causality and Watermarking of LLMs. The position is part of the new BMBF initiative “Chances and Risks of Generative AI” initiated by the Bundesministerium für Bildung und Forschung led by Fraunhofer AISEC and carried out together with CISPA Helmholtz Center for Information Security and TU Berlin (until end 2026). The PhD candidates contributes to the theoretical foundations, design, and implementation of Trustworthy LLMs 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. Requirements:
Applicants must possess a completed scientific degree (master or equivalent) in computer science, mathematics, electrical engineering or similar. Desirable:
Profound theoretical knowledge in AI, Deep Learning and good coding skills in either Python, TensorFlow (or PyTorch) as well as project management tools (Git etc.). Experience in the implementation and training of LLMs as well as Prompt Engineering and RAG is a plus. Ability and willingness to work and cooperate with the members of group and the project consortium will be valued. Applications should be sent electronically by e-mail, together with significant documents, indicating the reference code, no later than May 6th, 2024 preferably as a single pdf-document to Prof. Dr.-Ing. Gerhard Wunder: wunder@zedat.fu-berlin.de (cc: stefanie.bahe@fu-berlin.de), or postal to Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Informatik
AIgenCy
Herrn Prof. Dr.-Ing. Gerhard Wunder
Takustr. 9
14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection. Freie Universität Berlin is an equal opportunity employer.
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