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Scientific project staff

Göttingen
Georg-August-Universität
Inserat online seit: 27 Februar
Beschreibung

At the University of Göttingen -Public Law Foundation-, Institut für Informatik, there is a position as

Scientific Project Staff (all genders welcome)

Entgeltgruppe 14 TV-L/100%

to be filled. Starting date is as soon as possible. The position is limited to

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.

Your Profile:

* A Ph.D. (or near completion) in Computer Science or a related field, with a focus on Natural Language Processing (NLP) or Generative AI.
* A strong track record of first-author publications (at least 3 publications) in top-tier NLP and AI venues (e.g., ACL, EMNLP, JAIR, COLING)
* Proven proficiency in NLP downstream tasks (e.g., word sense disambiguation, summarization), as proven by publications.
* Active participation in the research community, including serving as a reviewer for major international conferences (e.g., ACL, EMNLP).
* Proven proficiency in supervising and mentoring B.Sc. and M.Sc.students, specifically guiding their research publications.
* Proven experience in organizing or managing events (e.g., staff in workshops, volunteers in scientific events) related to programming, hackathons, product development, innovation, or similar.
* Very good command of English and German.
* At least 3 years of industry experience (e.g., regular employee, student employee, internship).
* Proven proficiency in translating theoretical research into production-ready AI applications or industry prototypes.
* Interest in working with domain-specific, low-resource data.
* A communicative, curious, and team-oriented mindset, with strong motivation to learn new concepts and technologies.

We Offer

* 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.
* 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 on-site in Göttingen.

This role requires regular on-site presence in Göttingen; remote work is possible to a limited extent.

The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

Please upload your application in one pdf file including the usual documents until 3/19/2026 on the application portal of the university using this link:. For more information get in touch with PD Dr. Terry Lima Ruas directly via E-Mail: -, Tel

Please note:

With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)

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