The LibraryAI project proposes to design, develop, and test a virtual research assistant powered by Large Language Models and Retrieval-Augmented Generation (RAG) to support library users. This project is a joint effort between the University of Göttingen (UGoe), the Göttingen State and University Library (SUB), and the GWDG (Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen). Our multidisciplinary team brings together expertise in library science, computer science, and data management.
Table of Content
Summary
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Benefits
- A stimulating, interdisciplinary, and international research environment at one of Germany’s top-tier universities.
- The chance to contribute to a high-impact project at the intersection of AI, linguistics, and cultural heritage.
- 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, is 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.
This role requires regular on-site presence in Göttingen; remote work is possible to a limited extent.
Requirements
- A master's degree with a grade of "very good" (or equivalent) in computer science, computational linguistics, 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).
- Solid foundation in NLP downstream tasks (e.g., NER, tokenization, word sense disambiguation).
- Professional fluency (C1) in German and English, both written and spoken.
- Communicative and teamwork-oriented mindset.
Application Deadline
October 29, 2025How To Apply
Are you qualified and interested in this opportunity? Kindly go to
University of Göttingen on obp.uni-goettingen.de to apply
- Please upload your application in one pdf file including the usual documents on the application link above.
- For more information get in touch with PD Dr. Terry Lima Ruas directly via E-Mail: [email protected], Tel. +49 551 39 25835 .
For more information, kindly visit University of Gottingen scholarship webpage.
