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Student Research Assistant, Team Big Data Analytics (SHK-KTS-19)

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Arbeitsbeschreibung - Student Research Assistant, Team Big Data Analytics (SHK-KTS-19)





GESIS – Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
 
Starting on 01.04.2026 our Department Knowledge Technologies for the Social Sciences (KTS), Team Big Data Analytics (BDA) located in Cologne is looking for a
 
Student Research Assistant
(13,98 € / 14,87 € hourly rate, 40 hrs./ month, temporary)
 
The department Knowledge Technologies for Social Sciences (KTS) conducts research at the intersection of information retrieval, natural language processing, semantic technologies and human information interaction as foundation for innovative web portals and platforms for the search and use of research data. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.



Your tasks will be:


  • Pre-processing and annotation of Web data such as search engine log and social media
  • Implementing data science and machine learning methods for data analysis
  • Helping with user study setup 




Your profile:


  • Studying computer science, software engineering, or related programs
  • Good programming skills
  • Familiar with the concepts and algorithms in information retrieval
  • Knowledge of Data Science methods
  • Good written and spoken English skills




Our Benefits:


  • You will work closely with researchers in the EmergentIR project and gain insights into cutting-edge research at the intersection of information retrieval and AI 
  • Flexible working hours and regulations for mobile working
  • Very good conditions for reconciling work and family life
  • Holistic company health management and discounted participation in the university's sports programme 
  • Promotion of your skills through further training measures




Contact


For further information concerning the tasks please contact Ran Yu via E-Mail. If you have questions about the application process, please contact Franca Tosetti via E-Mail.



Interested?


​Please apply via our Online-application portal until 27.02.2026.
Our reference number is: SHK-KTS-19



About us



GESIS is one of the world's leading social science infrastructure facilities, supporting researchers at all levels of their research projects with expertise and infrastructure services. We help ensure that socially relevant questions can be answered based on reliable data, the latest scientific methods and research information. We help with study planning and data collection, provide high-quality research data, support with data preparation and analysis, and finally with data archiving.
GESIS helps you gain further qualifications. We offer our employees a wide range of career opportunities in an appealing work environment with a high degree of personal responsibility and creative freedom. With us, you will work in an international environment in the heart of Mannheim and Cologne and benefit from a flexible work environment as well as internal and external networks.
GESIS ensures compliance with the guidelines for the severely disabled and promotes professional equality between women and men.

Full-time positions can also be filled on a part-time basis.
As a family-friendly employer, we have been certified by the “berufundfamilie” audit since 2010.
Further information on working at GESIS can be found 
here.
 



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Über das Unternehmen

Gesis

Über uns GESIS ist eine der weltweit führenden Infrastruktureinrichtungen für die Sozialwissenschaften und steht Forscher*innen mit Expertise und Infrastrukturangeboten auf allen Ebenen ihrer Forschungsprojekte zur Seite. Wir tragen dazu bei, dass gesellschaftlich relevante Fragen auf der Basis bela...

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