Postdoc: Citizen Competency in Public Service Chatbots

LEO Foundation Skin Immunology Research Center (SIC)

København

Vor Ort

DKK 405.000 - 485.000

Vollzeit

vor 21 Stunden
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Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

The National Center for AI in Society (CAISA) at the University of Copenhagen invites applications for a two-year postdoctoral position focused on citizen competency in the use of public service chatbots. The postdoc will be based in Copenhagen and join an interdisciplinary team exploring responsible AI in collaboration with Statistics Denmark.

The role emphasizes quantitative methods, collaboration, and dissemination in English, with salary according to Danish university scales.

Qualifikationen

  • PhD in political science, public administration, sociology, social data science, or related field.
  • Interest or experience in public sector digitalization, AI integration, and/or behavior and attitudes.
  • Proficiency in advanced quantitative methods: experimental design, survey methodology, causal inference.
  • Emerging track record of publications in international journals.
  • Ability to work independently and within a collaborative team.
  • Excellent proficiency in spoken and written English.

Aufgaben

  • Lead research on citizen competency for interactions with public-facing AI interfaces.
  • Collaborate within an interdisciplinary team of researchers.
  • Contribute to responsible AI research and policy-relevant outputs.

Kenntnisse

Quantitative research methods
Experimental design
Survey methodology
Causal inference
Academic writing
Communication in English

Ausbildung

PhD in political science, public administration, sociology, social data science, or related field

Jobbeschreibung

The National Center for AI in Society (CAISA) at the University of Copenhagen invites applications for a two-year postdoctoral position focused on citizen competency in the use of public service chatbots. The postdoc will be based in Copenhagen and join an interdisciplinary team exploring responsible AI in collaboration with Statistics Denmark.

The role emphasizes quantitative methods, collaboration, and dissemination in English, with salary according to Danish university scales.

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