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Research Group 15 at Weizenbaum Institute is Looking to Hire a Research Assistant

News from Feb 08, 2021

Research group 15 at the Weizenbaum Institute is looking to hire a research assistant as soon as possible.

Research Assistant at the Weizenbaum Institute (m/f/d) 75%-part-time job limited to 09/14/2022
Pay Group 13 TV-L FU
Reference code: DII_WiMi_FG15_E

Application deadline: March 1, 2021

Since 2017, the research group "Digitalisation and the Transnational Public Sphere" at the Weizenbaum Institute for the Networked Society has been researching the role of digital technologies and the emergence of digital communication infrastructures and networks, online issue publics and their dynamics in critical issue areas such as right-wing populism, anti-elitism, migration, antifeminism, etc. International-comparative designs and computer-assisted data collection methods and analysis (computational social science) characterize the group's work.
We are looking for a research assistant with a workload of 75% (pay group 13 TV-L FU) as soon as possible until 09/14/2022. Prolongation is possible subject to follow-up funding.

Job description:

  • Planning and implementation of research projects in cooperation with the research group
  • International publication and lecture activities
  • Participation in cross-group and cross-institutional activities of the Weizenbaum Institute, such as transfer formats with network partners as well as formats to promote interdisciplinarity
  • Participation in the planning and organization of workshops and conferences
  • Participation in the external presentation and reporting of the research group

Requirements:
University degree (Magister, Diplom, Master) in media and communication science, political science, sociology, social sciences, or computer science/data science.

(Professional) Experience:

  • Experience in the area of research on (political) public spheres, with a focus on the analysis of communication in digital media or international comparative communication in the research group's field.
  • Advanced knowledge of computational and data-intensive methods in social sciences (computational social science), particularly knowledge of one or more of the following methods: network analysis, automated content analysis (i.e., topic modeling), text and data mining, etc.
  • Programming experience, preferably in R and/or Python, and experienced application skills in statistical data analysis.
  • Experience in assisting with the implementation of externally funded research projects.

Desirable:

  • Ph.D. in media and communication studies, political science, sociology, or related social sciences, including data science
  • Willingness to engage in interdisciplinary work
  • Team and communication skills
  • Ability to work independently
  • Excellent English skills
  • Interest in further training and qualification

Working place will be the Weizenbaum Institute, Hardenbergstraße 32, 10623 Berlin.
For further information about the position, please contact Annika Schütz (formal questions, annika.schuetz@fu-berlin.de ) or Dr. Annett Heft (content-related questions, annett.heft@fu-berlin.de ).

Further Information

All applications (including a short cover letter outlining your background, a detailed CV including possibly some references, and all relevant certificates) quoting the reference code should be directed preferably electronically in one PDF-file to: Mrs. Prof. Dr. Barbara Pfetsch: annika.schuetz@fu-berlin.de .

On the given occasion and for the duration of the essential on-site operations by Freie Universität Berlin, we kindly ask you to apply electronically by e-mail. The processing of a postal application cannot be guaranteed.

Freie Universität Berlin
Fachbereich Politik- und Sozialwissenschaften
Institut für Publizistik- und Kommunikationswissenschaft
Weizenbaum Institute
Mrs. Prof. Dr. Barbara Pfetsch
Garystr. 55
14195 Berlin (Dahlem)

With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection

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