The Natural Language Processing and Information Retrieval Group at the University of Mannheim invites applications for a short-term position for
ONE RESEARCHER (all genders welcome) IN COMPUTATIONAL POLITICAL SCIENCE / DATA SCIENCE / COMPUTATIONAL LINGUISTICS / STATISTICAL NLP
The position is affiliated to the interdisciplinary research project
Uncovering ideological frames in political discourses (UNCOVER)
headed by Ines Rehbein [1] and Simone Ponzetto [2].
We are looking for a highly motivated candidate to conduct research in the area of NLP for political science. The candidate should have a strong interest and background in one or several of the following areas
* computational political science * NLP / data science / text-as-data * computational linguistics / semantic text processing
with a strong drive for interdisciplinary research and high proficiency in German.
Candidates should have a Masters degree in Computational Linguistics, Natural Language Processing, Computer Science, Data Science, Political Science or related areas. The position will be located at the Data and Web Science Group (DWS) of the University of Mannheim, one of leading centers for Data Science in Germany (more information can be found at http://dws.informatik.uni-mannheim.de).
Duration: The position will be available for 6 to 9 months and can be arranged as a full or part-time position. Salary range: according to German public scale TV-L 13.
Applications can be made per e-mail (rehbein@uni-mannheim.de) and should include a short research statement, CV, copy of university degrees and transcripts. All documents should be e-mailed as a single PDF. All applications sent before March, 10, 2025 will receive full consideration. The position remains open until filled.
Please feel free to contact Ines Rehbein (rehbein@uni-mannheim.de) for informal enquiries.
The University of Mannheim is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.
Please note that threats to confidentiality and unauthorized access by third parties cannot be ruled out when communicating by unencrypted e-mail. The information on the collection of personal data from the data subject pursuant to Article 13 DS-GVO can be found on our homepage:
https://www.uni-mannheim.de/universitaet/stellenanzeigen/datenschutz-bei-bew....
[1] https://www.uni-mannheim.de/dws/people/researchers/postdoctoral-research-fel...
[2] https://www.uni-mannheim.de/dws/people/professors/prof-dr-simone-paolo-ponze...