Doctoral Researcher (CSS-125_intern) — Opportunihub
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Doctoral Researcher (CSS-125_intern)

GESIS – Leibniz-Institut für Sozialwissenschaften · Köln

At a glance

Type
Job
Organisation
GESIS – Leibniz-Institut für Sozialwissenschaften
Location
Köln
Work mode
On-site
Deadline
Rolling / not stated
Posted
23 Aug 2026

About this job

<br><strong> </strong><p><p style="text-align:left;"><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">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.</span></p><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">Starting on <strong>October 1, 2026</strong> our Department <strong>Computational Social Science (CSS)</strong>, <strong>Team Data Science Methods</strong> located in <strong>Cologne</strong>, is looking for a<br> <br><strong>Doctoral Researcher</strong><br><strong>(Salary group 13 TV-L, working time 60 %, limited until 31.03.2027)</strong><br> <br></span><span style="line-height:115%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">The department </span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><a href="https://www.gesis.org/en/institute/departments/computational-social-science"><strong><span style="line-height:115%;color:rgb(0,112,192);">Computational Social Science (CSS)</span></strong></a></span><span style="line-height:115%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;"> collects digital behavioral data and provides computer-based methods for collecting and analyzing such data for social science research. It also supports scientists with the integration of digital behavioral data into their research designs. The department's research focuses on the quality of digital behavioral data, the development and validation of computational social science methods and the transformation of digital societies.</span><span style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><br><br></span><span style="line-height:115%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">The project Dehumanization Online: Measurements and Consequences, funded by the Leibniz Association, is dedicated to the phenomenon of dehumanization, i.e. the external devaluation of certain social groups on digital platforms. The project aims to develop new text mining and machine learning methods to address the problem of dehumanization online. This methodical approach is the basis for a more accurate picture of the affected groups, actors and (communication) channels used.</span><p style="line-height:115%;"><span style="line-height:115%;font-family:Tahoma, sans-serif;"> </span></p></p><br><strong>Your tasks will be:</strong><p><ul><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Development, application and evaluation of analytical methods for measuring dehumanization on digital platforms</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Collection and processing of social media and web data </span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;"><span style="font-family:Tahoma, Geneva, sans-serif;">Publication of research results with those responsible for the project</span> </span></li></ul></p><br><strong>Your profile:</strong><p><ul><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;"><span style="line-height:150%;">Completed master’s degree in computer science, social sciences, physics, mathematics or a related discipline</span></span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Interest in interdisciplinary research on social and socio-technical phenomena</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Very good programming skills in languages related to data science (R, Python, Java etc.)</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Very good English skills, both written and spoken</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="line-height:150%;">Communication and teamwork skills, as well as the ability to organize your work well</span></li></ul></p><br><strong>Our Benefits:</strong><p><ul style="list-style-type:disc;"><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">An exciting international working environment for interdisciplinary research that also supports you in developing your research profile</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Flexible working hours and regulations for mobile working</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Very good conditions for reconciling work and family life, e.g. subsidies for childcare for children who have not yet attained the age of compulsory schooling</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Holistic company health management and discounted participation in the university's sports programme </span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Generous support for your pension provision as a direct insurance policy</span></li><li style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;"><span style="color:#000000;">Promotion of your skills through further training measures</span></li></ul></p><br><strong>Contact</strong><p><p style="line-height:110%;"><span style="line-height:110%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">For further information concerning the tasks please contact Prof. Dr. Claudia Wagner via E-Mail (<a ---------- you </span><span style="line-height:110%;font-family:Tahoma, Geneva, sans-serif;font-size:15px;">have questions about the application process, please contact Christine Laßmann via E-Mail (<a ---------- style="font-family:Tahoma, Geneva, sans-serif;font-size:15px;">Please apply via our Online-application portal until<strong> <strong><span style="color:#000000;">August 25, 2026</span></strong><span style="color:#000000;">.</span></strong><br></span><span style="font-family:Tahoma, Geneva, sans-serif;"><span style="font-size:15px;">Our reference number is: </span><strong><span style="font-size:15px;">CSS-125intern</span></strong></span></p><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

How to apply

  1. 1 Read the full details above and confirm you meet the eligibility criteria.
  2. 2 Prepare your documents — an updated CV, and any cover letter, proposal or certificates required.
  3. 3 Click Apply on official site to complete your application on GESIS – Leibniz-Institut für Sozialwissenschaften’s official page.
  4. 4 Submit as early as possible — many close once filled.
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Review the full details and eligibility on this page, prepare your documents, then use the “Apply on official site” button to complete your application on GESIS – Leibniz-Institut für Sozialwissenschaften’s official page.

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