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Researcher in Knowledge Graphs (KTS-81)

Gesis · Köln · Active · Personio

Job facts

FieldValue
CompanyGesis
TitleResearcher in Knowledge Graphs (KTS-81)
Normalized title-
Department / teamKnowledge Technologies for the Social Sciences / Köln - Online & persönl. Interview
LocationKöln
Work model-
Employment typePart Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-05-28 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Gesis.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Knowledge Technologies for the Social Sciences.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGesis
Source1bd103b0-7729-4766-8460-209457de0790
ATS providerPersonio

Description

description 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 1. October 2026  our Department Knowledge Technologies for the Social Sciences (KTS) , Team Information Extraction & Linking  located in  Cologne is looking for a Researcher in Knowledge Graphs (Salary group 13 TV-L, working time 75%, limited for 2 years, subject to approval) 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 like the  GESIS Knowledge Graph among others. In the  KGI4NFDI basic service, we aim to support the creation, discovery, connection, and use of knowledge graphs within the  NFDI ecosystem,  EOSC , and beyond. This service addresses the increasing demand for knowledge graph deployment, a central knowledge graph hub, interoperability, and community engagement. In this context, we are seeking a motivated researcher to work on the software development of research infrastructures. Your tasks will be: Design, implement and evaluate an infrastructure for a knowledge graph registration service, including software testing and quality assurance workflows Evaluate web-based interfaces for querying knowledge graphs based on open Large Language Models to increase accessibility Support stakeholders in the construction and publication of knowledge graphs Dissemination of project results through publications and workshops Your profile: Very good university degree (master's/diploma or equivalent) in computer science, data science, or a related field Proven experience in semantic web, knowledge graphs, RDF, and metadata standards Very good experience in designing and implementing web-based APIs, software development with Python, triple store and search engine technologies, software testing and quality assurance Very good knowledge of English, good verbal and written communication skills in German desirable Our Benefits: A growing, international work environment with access to unique datasets Excellent career opportunities in software development and data engineering Flexible working hours and regulations for mobile working 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 Holistic company health management and discounted participation in the university's sports programme  Generous support for your pension provision as a direct insurance policy Promotion of your skills through further training measures Contact For further information concerning the tasks please contact  Dr. Benjamin Zapilko via phone +49 221 47694 515  or via E-Mail ([email protected]) . If you have questions about the application process, please contact Franca Tosetti via E-Mail ([email protected]). Interested? Please apply via our Online-application portal until 17.06.2026. Our reference number is:  KTS-81

Full job record

Job ID3bc18a59421a7847f5f91e95b487f1dece3a9058
Org ID2f49d8f4-ba59-4851-a149-34e64c8ee4e5
Source ID1bd103b0-7729-4766-8460-209457de0790
Board ID1bd103b0-7729-4766-8460-209457de0790
Providerpersonio
Provider Job Key2650396
TitleResearcher in Knowledge Graphs (KTS-81)
Normalized Title
Statusactive
Activeyes
Location TextKöln
DepartmentKnowledge Technologies for the Social Sciences
TeamKöln - Online & persönl. Interview
Employment Typepart_time
Workplace Type
Remote Policy
CountryKöln
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://gesis.jobs.personio.de/job/2650396?language=en
Apply URLhttps://gesis.jobs.personio.de/job/2650396?language=en
First Seen At2026-05-30 05:42:40Z
Last Seen At2026-06-06 07:50:47Z
Last Checked At2026-06-06 07:50:47Z
Last Changed At2026-05-30 05:42:40Z
Inactive At
Source Posted At2026-05-28 15:51:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=personio/board=gesis.de/date=2026-06-06/2026-06-06T07-50-46-858Z-82deaab8cd881b259b974d83730fc6736dd7fc95e9b48c45f0e3e8bfe544d6cd.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
{
  "id": "2650396",
  "name": "Researcher in Knowledge Graphs (KTS-81)",
  "office": "Köln",
  "keywords": [],
  "schedule": "part-time",
  "createdAt": "2026-05-28T15:51:00+00:00",
  "seniority": "experienced",
  "department": "Knowledge Technologies for the Social Sciences",
  "occupation": "general_and_other_r_and_d_and_science",
  "subcompany": "GESIS – Leibniz-Institut für Sozialwissenschaften e.V.",
  "employmentType": "temporary",
  "jobDescriptions": [
    {
      "name": null,
      "value": "<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><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><br> <br>Starting on <strong>1. October 2026 </strong>our Department <strong>Knowledge Technologies for the Social Sciences (KTS)</strong>, <strong>Team Information Extraction & Linking</strong>  located in <strong>Cologne</strong> is looking for a<br> <br><strong>Researcher in Knowledge Graphs</strong><br><strong>(Salary group 13 TV-L, working time 75%, limited for 2 years, subject to approval)</strong><br> <br></span><p style=\"line-height:115%;\"><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">The department <a href=\"https://www.gesis.org/en/institute/departments/knowledge-technologies-for-the-social-sciences\"><strong>Knowledge Technologies for Social Sciences (KTS</strong></a><strong><span style=\"color:rgb(0,112,192);\">)</span></strong> 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 like the <a href=\"https://data.gesis.org/gesiskg/site/\">GESIS Knowledge Graph</a> among others. </span></p><p style=\"line-height:115%;\"><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">In the <a href=\"https://kgi.services.base4nfdi.de/\">KGI4NFDI</a> basic service, we aim to support the creation, discovery, connection, and use of knowledge graphs within the <a href=\"https://www.nfdi.de/\">NFDI</a> ecosystem, <a href=\"https://eosc.eu/\">EOSC</a>, and beyond. This service addresses the increasing demand for knowledge graph deployment, a central knowledge graph hub, interoperability, and community engagement. In this context, we are seeking a motivated researcher to work on the software development of research infrastructures. </span></p>"
    },
    {
      "name": "Your tasks will be:",
      "value": "<ul><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Design, implement and evaluate an infrastructure for a knowledge graph registration service, including software testing and quality assurance workflows</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Evaluate web-based interfaces for querying knowledge graphs based on open Large Language Models to increase accessibility</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Support stakeholders in the construction and publication of knowledge graphs</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><span style=\"line-height:150%;\">Dissemination of project results through publications and workshops</span></li></ul>"
    },
    {
      "name": "Your profile:",
      "value": "<ul><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Very good university degree (master's/diploma or equivalent) in computer science, data science, or a related field</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Proven experience in semantic web, knowledge graphs, RDF, and metadata standards</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Very good experience in designing and implementing web-based APIs, software development with Python, triple store and search engine technologies, software testing and quality assurance</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Very good knowledge of English, good verbal and written communication skills in German desirable</li></ul>"
    },
    {
      "name": "Our Benefits:",
      "value": "<ul style=\"list-style-type:disc;\"><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><span style=\"line-height:110%;color:#000000;\">A growing, international work environment with access to unique datasets</span></li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><span style=\"line-height:110%;color:#000000;\">Excellent career opportunities in software development and data engineering</span></li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Flexible working hours and regulations for mobile working</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>"
    },
    {
      "name": "Contact",
      "value": "<span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">For further information concerning the tasks please contact </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);font-size:15px;\">Dr. Benjamin Zapilko via phone +49 221 47694 515 </span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">or via E-Mail ([email protected])</span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">. If you have questions about the application process, please contact Franca Tosetti via E-Mail ([email protected]).</span>"
    },
    {
      "name": "Interested?",
      "value": "<span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">Please apply via our Online-application portal until 17.06.2026.</span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><br></span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">Our reference number is: </span><strong><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">KTS-81</span></strong>"
    }
  ],
  "occupationCategory": "r_and_d_and_science",
  "recruitingCategory": "Köln - Online & persönl. Interview"
}
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