Aarhus University
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Postdoctoral Research Fellow in Human-Centered AI for Data Visualization Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Sep 1, 2026
Country
Denmark
University
Aarhus University

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About this position
Postdoctoral Research Fellow position at the Department of Computer Science, Aarhus University, Denmark, in Human-Centered AI for Data Visualization.
The role is part of the Center for Anytime Anywhere Analytics (CA3), led by Professor Niklas Elmqvist, and focuses on combining data visualization, visual analytics, human-computer interaction, and human-centered AI. The research direction includes integrating AI and machine learning methods, including large language models, into the visualization pipeline to improve reliability, accessibility, and mixed-initiative sensemaking.
This is a 36-month, full-time postdoctoral position located on-site in Aarhus, Denmark. The postdoc will lead research projects, develop AI-assisted visualization tools, conduct empirical studies on trust and reliability, collaborate with researchers across CA3 and the broader HCC section, contribute to grant writing, mentor students, and publish in venues such as IEEE VIS, ACM CHI, EuroVis, and TVCG.
Eligibility highlights: Ph.D. in computer science, informatics, or a closely related field by the start date; strong publication record in visualization, visual analytics, HCI, or human-centered AI; experience with research software and computational tools; strong communication and independent research skills. Preferred experience includes AI/ML integration, open-source development, user studies, perceptual experiments, and workshop organization.
Application deadline: 1 September 2026, 23:59 CEST. Apply via Aarhus University’s recruitment system and include the required documents in English.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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