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

Working Student, Part-time · Köln

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

Apply for this job

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.

Ihr Aufgabengebiet:

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

Ihr Profil:

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

Wir bieten:

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

Kontakt

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.

Wir haben Ihr Interesse geweckt?

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

Apply for this job

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 belastbarer Daten, neuester wissenschaftlicher Methoden und Forschungsinformationen beantwortet werden können. Wir helfen bei der Studienplanung und der Datenerhebung, bieten qualitativ hochwertige Forschungsdaten, unterstützen bei der Datenaufbereitung und -analyse sowie schließlich bei der Archivierung der Daten.

GESIS unterstützt Sie dabei, sich weiter zu qualifizieren. Wir bieten unseren Mitarbeiter*innen ein breites Spektrum von Karrieremöglichkeiten in einer ansprechenden Arbeitsatmosphäre mit einem hohen Maß an Eigenverantwortung und Gestaltungsspielraum. Bei uns arbeiten Sie in einem internationalen Umfeld im Herzen von Mannheim und Köln und profitieren von einer flexiblen Arbeitsumgebung sowie internen und externen Netzwerken.

GESIS gewährleistet die Beachtung der Schwerbehindertenrichtlinien und fördert die berufliche Gleichstellung von Frauen und Männern.

In Vollzeit ausgeschriebene Stellen können auch in Teilzeit besetzt werden.

Als familienfreundlicher Arbeitgeber tragen wir seit 2010 das Zertifikat audit „berufundfamilie“.

Weitere Informationen zur Arbeit bei GESIS finden Sie hier.

Apply for this job

Your application!

We appreciate your interest in GESIS. Please fill in the following short form. Should you have any difficulties in uploading your files, please contact us by mail at jobs@gesis.org.