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

Overview

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 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 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 Yuvia E-Mail. If you have questions about the application process, please contact Franca Tosetti via E-Mail.

Wir haben Dein Interesse geweckt?

Das bringst Du mit:

Interested?

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

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

Das lernst Du bei uns: