LINGUIST List 31.3312

Fri Oct 30 2020

Support: German; Computational Linguistics: PhD, University of Göttingen

Editor for this issue: Becca Morris <>

Date: 29-Oct-2020
From: Anke Holler <>
Subject: German; Computational Linguistics: PhD, University of Göttingen, Germany
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Department: Institute for Digital Humanities
Web Address:

Level: PhD,Open

Institution/Organization: University of Göttingen

Duties: Research,Teaching

Specialty Areas: Computational Linguistics

Required Language(s): German (deu)


The Institute for Digital Humanities at the Georg-August-University Göttingen invites applications for a research position (male/female/diverse) in Natural Language Processing, Computational Linguistics or Computational Literary Studies with an option for scientific qualification, e.g. PhD.

Renumeration is according to the German TV-L E13 pay scale. The position is full time (currently 39,80 hours per week) but part-time is in principle also possible. The position is open with immediate effect, and the contract will initially be for 2 years. This position was created with the aim of helping to kickstart new DH initiatives at the institute. Subject to obtaining funding, an extension of the position in the context of a research project is intended.

The successful candidate will work in interdisciplinary projects at the intersection of NLP, Linguistics and Literary Studies. Göttingen University is a research-oriented university in the centre of Germany and offers an international and highly interdisciplinary working environment with motivated colleagues and many possibilities for collaboration.

- Development, implementation, evaluation and dissemination of novel algorithms for analyzing natural language, esp. factual and fictional texts
- Compilation and evaluation of large text corpora
- Teaching (currently 4 hours per week during term time)
- Interdisciplinary collaboration, esp. also with colleagues from the Humanities and Social Sciences
- Organization of events, such as talks and workshops

Required Profile:
- MSc/MA in Computational Linguistics, (Applied) Computer Science, Digital Humanities, Data Science or a comparable qualification
- Familiarity with algorithms for analyzing natural language, esp. text data
- Comprehensive knowledge of NLP algorithms and experience with statistical models and machine learning methods
- Programming experience and excellent knowledge of at least one programming language (e.g., Java or Python)
- Very good command of English
- Independence, reliability, ability to learn quickly and good communications skills
- Strong willingness to work interdisciplinary

Knowledge of German and experience with one or more of the following areas would be an advantage: Deep Learning, Pattern Matching, Information Retrieval, Text Mining, Knowledge Representation, Semantic Technologies.

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 its employees in balancing work and family life. The mission of the University is to employ a greater number of severely handicapped persons. Applications from severely handicapped persons with equivalent qualifications will be given preference.

Applications by 16.11.2020 will receive full consideration.

Please email your application as a pdf file to

By submitting an application you agree that your data will be processed by us for the purpose of filling the positions in accordance with the EU's General Data Protection Regulation (GDPR,

For further information please contact Prof. Dr. Anke Holler or Prof. Dr. Caroline Sporleder (,

The official job ad in German can be found at the application link provided below.

Applications Deadline: 16-Nov-2020

Mailing Address for Applications:
        Georg-August-Universität Göttingen,
        Institut für Digital Humanities,
        37073 Göttingen

Web Address for Applications:

Contact Information:
        Prof. Dr. Anke Holler

Page Updated: 30-Oct-2020