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Postdoc in Evaluation & Benchmarking of AI Models

Gesis · Köln · Deleted · Personio

Job facts

FieldValue
CompanyGesis
TitlePostdoc in Evaluation & Benchmarking of AI Models
Normalized title-
Department / teamKnowledge Technologies for the Social Sciences / Köln - Online & persönl. Interview
LocationKöln
Work model-
Employment typeFull Time
Salary-
Statusdeleted
ATS providerPersonio
Posted / first seen2026-05-27 / 2026-05-30
Changed / last seen2026-06-06 / 2026-06-03

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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 01.10.2026  our Department Knowledge Technologies for the Social Sciences (KTS) , Team Information Extraction & Linking located in Cologne is looking for a Postdoc in Evaluation & Benchmarking of AI Models (Salary group 13 TV-L, working time 100%, limited till 31.12.2028, subject to approval) The department Knowledge Technologies for Social Sciences  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 and BERD@NFDI projects, 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 and BERD projects including coordination with project partners and supervision of PhD students Conduct research in the context of AI benchmarking and scholarly information extraction Advance the GESIS Methods Hub through community engagement, content acquisition (methods, tutorials, training material) and integration with third party infrastructures (NFDI4DS, BERD@NFDI) and the incorporation of benchmarking protocols and datasets Exchange with the relevant scientific communities and dissemination of project results through publications and workshops Your profile: Completed a PhD in computer science, data science, or a related field Proven experience in scholarly information extraction, benchmarking and evaluation frameworks for AI systems Very good experience in software development with Python, AI-tooling, NLP technologies and Database database technologies Very good verbal and written communication skills in German; very good knowledge of English Our Benefits: 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 Dimitar Dimitrov via phone  +49 221 47694512  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 03.06. Our reference number is:  KTS-79-intern

Full job record

Job IDadc05be5da9711f208f5b688a052446fadfcd23e
Org ID2f49d8f4-ba59-4851-a149-34e64c8ee4e5
Source ID1bd103b0-7729-4766-8460-209457de0790
Board ID1bd103b0-7729-4766-8460-209457de0790
Providerpersonio
Provider Job Key2648962
TitlePostdoc in Evaluation & Benchmarking of AI Models
Normalized Title
Statusdeleted
Activeno
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/2648962?language=en
Apply URLhttps://gesis.jobs.personio.de/job/2648962?language=en
First Seen At2026-05-30 05:42:40Z
Last Seen At2026-06-03 12:35:10Z
Last Checked At2026-06-06 07:50:47Z
Last Changed At2026-06-06 07:50:47Z
Inactive At2026-06-06 07:50:47Z
Source Posted At2026-05-27 11:46:23Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=personio/board=gesis.de/date=2026-06-03/2026-06-03T12-35-09-670Z-617c02394e50728566a96afb525eb73f95c3c32c2facdd0bbdfdcf9f82a9605f.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
{
  "id": "2648962",
  "name": "Postdoc in Evaluation & Benchmarking of AI Models",
  "office": "Köln",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2026-05-27T11:46:23+00:00",
  "seniority": "experienced",
  "department": "Knowledge Technologies for the Social Sciences",
  "occupation": "other",
  "subcompany": "Interne Ausschreibungen 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.<br> <br>Starting on <strong>01.10.2026 </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>Postdoc in Evaluation & Benchmarking of AI Models</strong><br><strong>(Salary group 13 TV-L, working time 100%, limited till 31.12.2028, subject to approval)</strong><br> <br>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></a></span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"> 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. <br>AI is transforming the scientific process across disciplines. In the NFDI4DS and BERD@NFDI projects, 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>"
    },
    {
      "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 NFDI4DS and BERD projects including coordination with project partners and supervision of PhD students</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Conduct research in the context of AI benchmarking and scholarly information extraction</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Advance the GESIS Methods Hub through community engagement, content acquisition (methods, tutorials, training material) and integration with third party infrastructures (NFDI4DS, BERD@NFDI) and the incorporation of benchmarking protocols and datasets</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Exchange with the relevant scientific communities and dissemination of project results through publications and workshops</li></ul>"
    },
    {
      "name": "Your profile:",
      "value": "<ul><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Completed a PhD in computer science, data science, or a related field</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">Proven experience in scholarly information extraction, benchmarking and evaluation frameworks for AI systems</li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><span style=\"line-height:150%;\">Very good experience in software development with Python, AI-tooling, NLP technologies and Database database technologies</span></li><li style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\"><span style=\"line-height:150%;\">Very good verbal and written communication skills in German; very good knowledge of English</span></li></ul>"
    },
    {
      "name": "Our Benefits:",
      "value": "<ul style=\"list-style-type:disc;\"><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 </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">contact Dimitar Dimitrov via phone </span><span style=\"font-family:Tahoma, Geneva, sans-serif;font-size:15px;\">+49 221 47694512 </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">or via E-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, please </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">contact Franca Tosetti via </span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:rgb(33,37,41);background:#FFFFFF;font-size:15px;\">E-</span><span style=\"font-family:Tahoma, Geneva, sans-serif;color:#000000;background:#FFFFFF;font-size:15px;\">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 03.06.</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-79-intern</span></strong>"
    }
  ],
  "occupationCategory": "other",
  "recruitingCategory": "Köln - Online & persönl. Interview"
}
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