Natural Language Processing jobs in Germany

Paderborn University is a high-performance and internationally oriented university. Within interdisciplinary teams, we undertake forward-looking research, design innovative teaching concepts and actively transfer knowledge into society. We offer our employees in research, teaching, technology and administration a lively, family-friendly, equal opportunity environment, a lean management structure and diverse opportunities. Join us to invent the future!

In the Faculty of Computer Science, Electrical Engineering and Mathematics at the Department of Computer Science, the following professorship is to be filled as soon as possible:

W2–University Professorship (f/m/d) for Natural Language Processing

• Contribute to the Department of Computer Science with a strong research profile in natural language processing.
• Engage in acquiring and conducting third-party funding projects, such as DFG projects, and actively participate in proposals for collaborative and interdisciplinary research projects.
• Collaborate within existing projects and research centers and leverage opportunities at the Software Innovation Campus Paderborn (SICP), the Heinz Nixdorf Institute (HNI), and the Paderborn Center for Parallel Computing (PC2).
• Teach courses in data science within the degree programs of computer science and computer engineering; be willing to teach in German and English within 2 years of hire.
• Participate in academic self-administration and contribute to the universitys strategic development.
• Contribute to bold research ideas as part of Paderborn University's research ecosystem and high-performance computing resources.

• Scientific qualification demonstrated by publications in internationally leading conferences and journals in natural language processing.
• Experience with acquiring and conducting third-party funding projects (e.g., DFG projects).
• Ability to participate in proposals for collaborative and interdisciplinary research projects and to engage in ongoing projects and research centers.
• Strong commitment to teaching data science topics in undergraduate and graduate programs and to adapting teaching to German and English-language delivery within two years.

• § 36 Abs. 1 Ziff. 1 to 4 HG NRW (completed university degree, pedagogical aptitude, Ph.D. degree and additional academic achievements).
• Applications from women are particularly welcome and will receive preferential treatment according to state law (LGG) where qualifications and experiences are equal, unless there are preponderant reasons to prefer another applicant.
• Applications from disabled people with appropriate suitability are explicitly welcome; this also applies to people with equal opportunities under SGB IX. Paderborn University is certified as a family-friendly university and offers Dual Career Services.

• Applications with the common material (CV, certificates, list of publications, course list, research statement, teaching statement, and if available, course evaluations) must be received by reference number 7165 by March 10th, 2026 online via the application portal of Paderborn University: https://bewerbung.uni-paderborn.de/stellen/7165
• Information regarding the processing of your personal data can be located at: www.uni-paderborn.de/zv/personaldatenschutz
• Please direct any questions to the chair of the committee: Prof. Dr. Axel Ngonga, Faculty of Computer Science, Electrical Engineering and Mathematics, Paderborn University, Warburger Str. 100, 33098 Paderborn. E-Mail: eim-i-prodekan@uni-paderborn.de

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