An der Georg-August-Universität Göttingen Stiftung Öffentlichen Rechts - Institut für Informatik sind ab dem 01.01.2026 2 Stellen alsPhD Researchers - AI-Generated Fake News Detection (all genders welcome)- Entgeltgruppe 13 TV-L - in Vollzeit (teilzeitgeeignet) zu besetzen. Die Stellen sind befristet für 21 Monate (until 30.09.2027).The Chair of Scientific Information Analytics, headed by Prof. Dr. Bela Gipp (GippLab - ), conducts research at the intersection of computer science, data science, and information science. Natural language processing (NLP) based on Large Language Models (LLM) is a particular research focus of the chair.

As part of the research project Defacto: Development of Falsely Manipulated Content Authenticity System , we are looking for two full-time positions for PhD researchers (all genders welcome). The job posting is subject to the confirmation of project funding.

Project Description:
The rise of generative AI tools allows for the easy creation of highly realistic manipulated content, such as deepfake videos and synthetic text, posing a significant risk for misinformation and cybercrime. Current detection methods struggle to keep pace, often hampered by biased or insufficient training data. This project aims to address these challenges by developing a state-of-the-art, multimodal deepfake dataset focused on AI-generated manipulations. Your work will directly contribute to improving the robustness of detection systems, creating new benchmarks for the research community, and ultimately enhancing security against emerging digital threats.

Your Responsibilities

Conduct cutting-edge research in generative AI to create a diverse dataset of manipulated content focusing on text but also including images, videos, and speech.
Work with state-of-the-art generative models, including GANs, Diffusion Models (e.g., StyleGAN, FLUX), and LLMs (e.g., GPT-4o, Llama 3).
Develop and maintain a data generation pipeline to ensure the dataset is continuously updated with emerging deepfake techniques.
Design and implement human evaluation studies to assess the quality and realism of the generated content.
Publish your findings at top-tier international conferences (e.g., ACL, EMNLP, ICML, NeurIPS).
Conduct teaching in accordance with the requirements of the PhD program in computer science at the University of Göttingen (low workload).
Supervise bachelor's and master's students working on related projects.

Your Profile

An excellent master's degree (or equivalent) in computer science, computational linguistics, mathematics, physics, data science, or a related discipline.
Strong programming skills, particularly in Python.
Hands-on experience with deep learning frameworks (e.g., PyTorch) and NLP libraries (e.g., Hugging Face).
A solid foundation in Natural Language Processing and Machine Learning; familiarity with LLMs and generative models is a significant plus.
Self-motivation for independent scientific work, creativity, and a passion for solving complex challenges.
International academic or industrial experience abroad through internships or scholarships in research institutions (e.g., CERN, ETH Zurich).
Professional fluency (C1) in German and English, both written and spoken.

We Offer

A stimulating, international, and collaborative research environment at one of Germany’s top-tier universities.
The chance to contribute to a high-impact project at the forefront of AI safety and media forensics.
Close, supportive supervision to foster both your academic and personal development toward a PhD.
Access to cutting-edge HPC resources, such as a GPU cluster with NVIDIA A100 GPUs, essential for large-scale model training.
Funding to present your research at premier international conferences and engage with the global scientific community.
A full-time position with a competitive salary under the German public service scale (TV-L), with the option of part-time employment.
Office space and technical equipment. The position will be located in Göttingen on-site.

For more information, please contact Jan Philip Wahle by email: wahle@uni-goettingen.deDie Universität Göttingen strebt in den Bereichen, in denen Frauen unterrepräsentiert sind, eine Erhöhung des Frauenanteils an und fordert daher qualifizierte Frauen nachdrücklich zur Bewerbung auf. Sie versteht sich zudem als familienfreundliche Hochschule und fördert die Vereinbarkeit von Wissenschaft/Beruf und Familie. Der beruflichen Teilhabe von schwerbehinderten Beschäftigten sieht sich die Universität in besondere Weise verpflichtet und begrüßt deshalb Bewerbungen schwerbehinderter Menschen. Bei gleicher Qualifikation erhalten Bewerbungen von Menschen mit Schwerbehinderung den Vorzug. Eine Behinderung bzw. Gleichstellung ist zur Wahrung der Interessen bereits in die Bewerbung aufzunehmen.Bitte reichen Sie Ihre aussagekräftige Bewerbung mit allen wichtigen Unterlagen bis zum 11.11.2025 ausschließlich über das Bewerbungsportal ein. Auskunft erteilt Herr Terry Lima Ruas, E-Mail: ruas@uni-goettingen.de, Tel. +49 15906803612Hinweis: Wir weisen darauf hin, dass die Einreichung der Bewerbung eine datenschutzrechtliche Einwilligung in die Verarbeitung Ihrer Bewerbungsdaten durch uns darstellt. Näheres zur Rechtsgrundlage und Datenverwendung finden Sie im Hinweisblatt zur Datenschutzgrundverordnung (DSGVO)