Postdoctoral Research Fellow – Human-Centered AI for Data Visualization at Computer Science, Aarhus University Full-time

Postdoctoral Research Fellow – Human-Centered AI for Data Visualization

The Department of Computer Science at Aarhus University (Denmark) invites applications for a 36-month Postdoctoral Research Fellow position focused on Human-Centered AI for Data Visualization. The position is funded by the Center for Anytime Anywhere Analytics (CA3).

The starting date is 15 November 2026, or as soon as possible thereafter.

The Department of Computer Science at Aarhus University is ranked among the top CS departments in Europe. The department is strong in both theoretical and applied computer science. We pride ourselves on close cooperation between different research groups, even those which have traditionally been perceived as being far from each other. Many of the department's research targets themes and application areas that are interdisciplinary and multidisciplinary in nature. The Department is located at Åbogade 34, 8200 Aarhus N, Denmark.

The Center for Anytime Anywhere Analytics (CA3) at Aarhus University, led by Professor Niklas Elmqvist, is funded by a Villum Investigator grant. Our mission is to utilize data collected globally and empower users to access and analyze it anywhere. We build on data visualization, human-computer interaction, and AI to create analytics experiences that are reliable, accessible, and embedded into the user's environment.

This is a full-time (37 hours/week) on-site role located in Aarhus, Denmark for a Postdoctoral Research Fellow at the Department of Computer Science, Aarhus University. The position is limited to 3 years (36 months). The postdoctoral fellow will conduct research on human-centered AI for data visualization as part of the CA3 center. The focus of the position will be on making visual analytics more reliable and more accessible through the integration of AI and machine learning methods—including large language models—into the visualization pipeline.

• Lead research projects within the intersection of data visualization, human-centered AI (HCA), and human-computer interaction (HCI).
• Develop AI-assisted visualization tools that integrate large language models into the analytical workflow, for example to elicit domain knowledge, generate queries, or support mixed-initiative sensemaking.
• Design and conduct empirical studies on the reliability and trustworthiness of AI-augmented visualization systems.
• Collaborate with faculty members and fellow researchers across the CA3 center and the broader HCC section at Aarhus University.
• Contribute to grant writing and research proposals in human-centered AI and visual analytics.
• Provide guidance and mentorship to graduate and undergraduate students working on related research projects.
• Publish research findings in top-tier conferences and journals (e.g., IEEE VIS, ACM CHI, EuroVis, TVCG).
• Participate in academic activities such as seminars, workshops, and conferences.

• Ph.D. in computer science, informatics, or a closely related field (by the start date).
• Strong publication record in data visualization, visual analytics, human-computer interaction, or human-centered AI (e.g., IEEE VIS, TVCG, CHI, EuroVis).
• Experience developing research software and computational tools (e.g., web technologies, Python libraries, client/server systems).
• Excellent communication and interpersonal skills with the ability to work effectively in a collaborative research environment.
• Ability to work independently and demonstrate initiative in formulating and executing research projects.

• Experience integrating AI/ML methods (particularly large language models) into visualization or analytics systems.
• Track record of open-source software development.
• Experience with empirical research methods, including user studies and perceptual experiments.
• Experience organizing academic workshops, tutorials, or other community activities.

For further information contact Professor Niklas Elmqvist (elm@cs.au.dk).

All applications must be received no later than 1 September 2026.

The application must be submitted via Aarhus University's recruitment system, which can be accessed under the job advertisement on Aarhus University's website.