37.268, Jobs: English, German; General Linguistics: Programmer / Computational Linguist / Data Scientist, University of Cologne

Tue Jan 20 10:05:02 UTC 2026

LINGUIST List: Vol-37-268. Tue Jan 20 2026. ISSN: 1069 - 4875.

Subject: 37.268, Jobs: English, German; General Linguistics: Programmer / Computational Linguist / Data Scientist, University of Cologne

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Date: 19-Jan-2026
From: Sophie Repp [sophie.repp at uni-koeln.de]
Subject: English, German; General Linguistics: Programmer / Computational Linguist / Data Scientist, University of Cologne

Job Location: Cologne, Germany
Web Address: https://dch.phil-fak.uni-koeln.de/
Job Title: Programmer / Computational Linguist / Data Scientist
Job Rank: Other

Minimum Education: M.A. / M.Sc. or Ph.D.

Specialty Areas: General Linguistics

Specialty Language(s): English (eng)
                       German (deu)

Other Specialties: Experimental Linguistics
Description:
We are looking for a reliable and motivated individual to set up the
new Experimental Service Hub at the Data Center for the Humanities
(DCH; https://dch.phil-fak.uni-koeln.de/) in close cooperation with
the linguistic laboratories at the Faculty of Arts at the University
of Cologne (XlinC Lab:
https://xlinc.phil-fak.uni-koeln.de/en/xlinc-lab, and Phonetics:
https://ifl.phil-fak.uni-koeln.de/en/phonetics/lab/experimental-phonetics-lab).
In the future the hub will offer the entire spectrum of services and
support for experimental linguistic research carried out at the
Faculty of Arts: from experiment design, experiment programming, data
processing and analysis to the archiving of projects and data.
Your tasks include:
 - Development and testing of sustainable workflows and pipelines for
experiment design and experiment programming for research involving
the recording of audio, video, eye movements, EEG, reaction times,
a.o.; on-site support of running research projects in this area
 - Development and testing of service procedures for data treatment
and analysis (including inferential statistics), data management and
archiving for a broad range of data types (e.g., reaction times,
phonetic production, multimodal data, EEG data) including the
synchronization of different data types; on-site support of running
research projects in this area
 - Creation of a participant data base for linguistic research at the
DCH
 - Creation and supervision of the web portal of the Experimental
Service Hub as part of the web portal of the DCH
 - Provision of training courses/workshops on experimental methods and
statistics as part of the services of the DCH
Your profile:
 - M.A. / M.Sc. degree or Ph.D. in a relevant field (e.g.,
linguistics, computational linguistics, psychology, cognitive science,
computer science, data science or similar)
 - Proven programming experience, e.g. with Python, R, MATLAB
 - Experience with / interest in experimental linguistic research
 - Proven knowledge of descriptive and inferential statistics
 - Willingness to constantly expand competence portfolio regarding
research paradigms and data analysis/management
 - Fluent in German and English
 - Willingness to engage in interdisciplinary work
 - Very good communicative skills
 - Team player
The position is a full-time position (39.83 hours per week) starting 1
April 2026 or soon thereafter with a contract duration of 6 years,
which may be turned into a permanent position afterwards, subject to
financial conditions. Salary is on the E13 TV-L German pay scale.

Application Deadline: 12-Feb-2026
Web Address for Applications: https://jobportal.uni-koeln.de
Application Instructions:
Please upload your application including CV, motivational letter, any
documents that are informative for the position (e.g., previous
publications, work reviews) (all in pdf) at
https://jobportal.uni-koeln.de by 12 February 2026.  The job
identifier is TUV2601-04. You can also find the official job advert in
German there. If any of the files exceeds 4 MB, please provide a
download link. For further questions concerning the job profile,
please contact sophie.repp at uni-koeln.de; for questions concerning
upload of files or administrative issues, please contact
marlen.arnolds at uni-koeln.de. You may also consult the university’s FAQ
page:
https://www.uni-koeln.de/en/university/working-at-the-university/careers-jobs/job-openings/career-faq
Contact Information:
        Sophie Repp
        Email: sophie.repp at uni-koeln.de

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LINGUIST List: Vol-37-268
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