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Niklas Elmqvist

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Professor

Aarhus University
Country flagDenmark

Research Interests

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About

Professor Niklas Elmqvist is a faculty member at Aarhus University, Denmark. His research focuses on human-centered AI, visualization, and data representation. Recent contributions include work on automating design feedback with large language models, attention-aware visualization, and interactive guided tours for dashboard onboarding.

Recent Grants

Grant: Open

Center for Anytime Anywhere Analytics (CA3)

Open Date: 2023-09-01

Close Date: 2030-08-01

Grant: Close

CHS: Small: C3DaR - Collection, Creation, and Collaboration for Engineering Design and Reflection

Open Date: 2014-09-01

Close Date: 2017-08-31

Grant: Close

WORKSHOP: Doctoral Colloquium at IEEE VIS 2013

Open Date: 2013-07-01

Close Date: 2014-06-30

Grant: Close

CAREER: Ubilytics: Harnessing Existing Device Ecosystems for Anywhere Sensemaking

Open Date: 2013-02-01

Close Date: 2018-01-31

Grant: Close

DIP: V-ICED Visually-Integrated Cyber Exploratorium for Design

Open Date: 2012-10-01

Close Date: 2015-09-30

Positions (2)

Publisher
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Niklas Elmqvist

University Name
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Aarhus University

PhD position at Aarhus University in Coding Agents for Data Visualization and Analytics , hosted in the Department of Computer Science and supervised by Professor Niklas Elmqvist . The project sits at the intersection of computer science , data visualization , human-computer interaction , human-AI collaboration , and mobile/ubiquitous computing . The research explores how AI-powered coding agents can generate, modify, and execute code to support visual data analysis beyond the desktop. The goal is to make visualization and analytics accessible on phones, tablets, wearable displays, and other situated or field-based settings, including the clinic, classroom, and other real-world environments. Possible directions include natural language and multimodal interfaces for visualization authoring, adaptive visualization for constrained devices, iterative human-AI collaboration, transparency and user agency in AI-mediated analytics, and immersive/extended reality platforms. The position is available from November 2026 or later . The project uses participatory methods and combines system prototyping with qualitative studies and empirical evaluation. It is funded by Villum Investigator grant support through the Center for Anytime Anywhere Analytics (CA3) by Villum Fonden . Eligibility highlights: applicants must hold a Master's degree in Computer Science, Human-Computer Interaction, or a related field, and should have a strong interest in human-centered AI, visualization, or code generation. Preferred experience includes visualization research, LLM-based code generation, mobile/ubiquitous computing, publications in HCI or visualization venues, and web/mobile development skills. Application deadline: 1 August 2026 at 23:59 CEST . Applicants should prepare the required attachments, including a project description of 1/2 to 4 pages, and apply via the Aarhus University PhD application portal. In the application system, choose the August 2026 Call , select the Computer Science programme, and choose the study option Ph.D. Position in Coding Agents for Data Visualization & Analytics (PPCADV) .

2 months ago

Publisher
source

Niklas Elmqvist

University Name
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Aarhus University

Aarhus University is recruiting a three-year postdoctoral research fellow in Human-Centered AI for Data Visualization within the Center for Anytime Anywhere Analytics (CA3) , led by Professor Niklas Elmqvist in the Department of Computer Science. The position sits at the intersection of data visualization , human-centered AI , human-computer interaction , visual analytics , and related XR topics. The research focus is on making visual analytics more reliable and accessible by integrating AI and machine learning methods, including large language models, into the visualization pipeline. Example directions include AI-assisted visualization tools, mixed-initiative sensemaking, eliciting domain knowledge, query generation, and empirical studies of trust and reliability in AI-augmented systems. This is a full-time, on-site postdoctoral position in Aarhus, Denmark, funded by CA3. The appointment runs for 36 months , with a starting date of 15 November 2026 or as soon as possible thereafter. The post is aimed at candidates with a strong research profile and experience in building research software and computational tools. Eligibility highlights: applicants must hold a Ph.D. in computer science, informatics, or a closely related field by the start date. A strong publication record in visualization, visual analytics, HCI, or human-centered AI is expected. Preferred experience includes AI/ML integration, open-source development, and empirical user-study methods. How to apply: submit the application through Aarhus University’s recruitment system. The application must be in English and include a CV, degree certificate, publication list, future research plan, and teaching-related documentation if applicable. The deadline is 1 September 2026 at 23:59 CEST. Informal inquiries can be sent to [email protected] . The university notes that shortlisted candidates will be evaluated after the deadline.

1 month ago

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Collaborators (8)

Hans-Jörg Schulz

Aarhus University

DENMARK
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Brian Ondov

Yale University

UNITED STATES
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Marc Streit

-

AUSTRIA
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Peter Butcher

Lecturer in Human-Computer Interaction

Bangor University

UNITED KINGDOM
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Panagiotis Ritsos

Senior Lecturer in Visualization

Bangor University

UNITED KINGDOM
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Young-Woo Park

Associate Professor

Institute of Science and Technology

SOUTH KOREA
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Jian Zhao

University of Waterloo

CANADA
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Sungbok Shin

Graduate Research/Teaching Assistant

University of Maryland at College Park

UNITED STATES
View details
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