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Postdoc in NLP and Research Knowledge Graphs (KTS-80)

Gesis · Köln · Active · Personio

Job facts

FieldValue
CompanyGesis
TitlePostdoc in NLP and Research Knowledge Graphs (KTS-80)
Normalized title-
Department / teamKnowledge Technologies for the Social Sciences / Köln - Online & persönl. Interview
LocationKöln
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-05-28 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

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 and Data Retrieval located in  Cologne is looking for a Postdoc in NLP and Research Knowledge Graphs (Salary group 13 TV-L, working time 100%, limited till 31.12.2028, 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. AI is transforming the scientific process across disciplines. In the NFDI4DS project, we develop infrastructures that empower researchers to responsibly adopt AI methods—for example, by establishing fair benchmarking protocols, ensuring transparent evaluation and documentation of AI models and LLMs, and curating a repository of open, reusable AI-based methods, along with related training materials and events. In this context, we are seeking a motivated researcher to coordinate and lead these activities. Your tasks will be: Lead dedicated work packages and a team of researchers within the NFDI4DS project including coordination with project partners and supervision of PhD students Research scholarly information extraction and develop methods for building Research Knowledge Graphs (e.g.,  GESIS KG ) Develop, integrate, and evaluate services, models, and systems using established benchmarks Advance the NFDI4DS Academy through community engagement, content acquisition (methods, tutorials, training material) and integration with third party infrastructures Exchange with scientific and user communities and dissemination of project results through publications and workshops at national and international level Your profile: Master's degree and completed a PhD in computer science, data science, or a related field Experience in project management Proven experience in NLP research and knowledge graphs, specifically in the context of scholarly information extraction Very good experience in software development with Python, AI-tooling, NLP technologies and database technologies Very good verbal and written communication skills in English; good knowledge of 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  Philipp Mayr  via phone  +49 221 47694   533 o r via E- Mail ([email protected]).   If you have questions about the application process,  please contact  Christine Laßmann  via E-Mail  ([email protected]). Interested? Please apply via our Online-application portal until June 17th, 2026. Our reference number is:  KTS-80

Full job record

Job IDa7be50822feb92df1d8deba229c2b75a624bd5bd
Org ID2f49d8f4-ba59-4851-a149-34e64c8ee4e5
Source ID1bd103b0-7729-4766-8460-209457de0790
Board ID1bd103b0-7729-4766-8460-209457de0790
Providerpersonio
Provider Job Key2649886
TitlePostdoc in NLP and Research Knowledge Graphs (KTS-80)
Normalized Title
Statusactive
Activeyes
Location TextKöln
DepartmentKnowledge Technologies for the Social Sciences
TeamKöln - Online & persönl. Interview
Employment Typefull_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/2649886?language=en
Apply URLhttps://gesis.jobs.personio.de/job/2649886?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 10:18:14Z
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
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  "name": "Postdoc in NLP and Research Knowledge Graphs (KTS-80)",
  "office": "Köln",
  "keywords": [],
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  "createdAt": "2026-05-28T10:18:14+00:00",
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  "department": "Knowledge Technologies for the Social Sciences",
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  "subcompany": "GESIS – Leibniz-Institut für Sozialwissenschaften e.V.",
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    {
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      "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 and Data Retrieval</strong> located in <strong>Cologne</strong> is looking for a<br> <br><strong>Postdoc in NLP and Research Knowledge Graphs</strong><br><strong>(Salary group 13 TV-L, working time 100%, limited till 31.12.2028, 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><span style=\"line-height:115%;\">Knowledge Technologies for Social Sciences</span></strong><strong> (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. </span></p><p style=\"line-height:115%;\"><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">AI is transforming the scientific process across disciplines. In the NFDI4DS project, we develop infrastructures that empower researchers to responsibly adopt AI methods—for example, by establishing fair benchmarking protocols, ensuring transparent evaluation and documentation of AI models and LLMs, and curating a repository of open, reusable AI-based methods, along with related training materials and events. In this context, we are seeking a motivated researcher to coordinate and lead these activities. </span></p><p style=\"line-height:115%;\"><span style=\"line-height:115%;font-family:Tahoma, sans-serif;\"> </span></p>"
    },
    {
      "name": "Your tasks will be:",
      "value": "<ul style=\"list-style-type:disc;margin-left:15.05px;\"><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Lead dedicated work packages and a team of researchers within the <a href=\"https://www.nfdi4datascience.de/\">NFDI4DS</a> project including coordination with project partners and supervision of PhD students</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Research scholarly information extraction and develop methods for building Research Knowledge Graphs (e.g., <a href=\"https://data.gesis.org/gesiskg/site/\">GESIS KG</a>)</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Develop, integrate, and evaluate services, models, and systems using established benchmarks</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Advance the NFDI4DS Academy through community engagement, content acquisition (methods, tutorials, training material) and integration with third party infrastructures</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Exchange with scientific and user communities and dissemination of project results through publications and workshops at national and international level</li></ul>"
    },
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      "name": "Your profile:",
      "value": "<ul style=\"list-style-type:disc;margin-left:15.05px;\"><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Master's degree and completed a PhD in computer science, data science, or a related field</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Experience in project management</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Proven experience in NLP research and knowledge graphs, specifically in the context of scholarly information extraction</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Very good experience in software development with Python, AI-tooling, NLP technologies and database technologies</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Very good verbal and written communication skills in English; good knowledge of German desirable</li></ul>"
    },
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      "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:rgb(0,0,0);\">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:rgb(0,0,0);\">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:rgb(0,0,0);\">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:rgb(0,0,0);\">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:rgb(0,0,0);\">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:rgb(0,0,0);\">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:#000000;background:#FFFFFF;font-size:15px;\">Philipp Mayr </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">via phone </span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-weight:normal;text-decoration:none;font-size:15px;\">+49 221 47694</span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\"> </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">533 o</span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">r via E-</span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">Mail ([email protected]).  </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">If you have questions about the application process, </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">please contact </span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Christine Laßmann </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">via E-Mail </span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">([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 <strong><strong><span style=\"color:rgb(33,37,41);background:#FFFFFF;\">June 17th, 2026.</span></strong></strong></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-80</span></strong>"
    }
  ],
  "occupationCategory": "r_and_d_and_science",
  "recruitingCategory": "Köln - Online & persönl. Interview"
}
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