Publisher
source

Sandra Bae

5 months ago

Computer Science University of Arizona in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

not provided

Deadline

Dec 28, 2026

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Country

United States

University

University of Arizona

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Keywords

Computer Science
Cognitive Science
Information Technology
Artificial Intelligence
Human-computer Interaction
Data Visualization
Mixed Reality
Fabrication Techniques
Computer-aided Design
Machine learning

About this position

The Data Representation (D-REP) Lab at the University of Arizona, led by Assistant Professor Sandra Bae and co-founded with Takanori Fujiwara, is recruiting PhD students and postdocs for Fall 2026. The lab focuses on interdisciplinary research in data visualization, mixed reality (MR), machine learning, computational fabrication, and related areas such as computational design, cognitive science, artificial intelligence, and human-computer interaction. The D-REP Lab is part of the Computer Science department and aims to advance data representations through innovative research. Interested candidates should be highly motivated and passionate about these topics.

For more information about ongoing projects and the application process, visit https://d-rep.org. The lab will also be present at major conferences such as IEEE VIS 2025, ACM SCF 2025, and ACM SIGGRAPH ASIA 2025, providing opportunities to connect in person. Funding details are not specified in the announcement. The application deadline is set for Fall 2026.

Candidates are encouraged to reach out via email or through the lab website for further instructions.

What's required

Applicants should be highly motivated and passionate about interdisciplinary research in data visualization, mixed reality, machine learning, computational fabrication, and related areas. PhD and postdoc candidates are encouraged to apply. Specific degree requirements, skills, GPA, or language tests are not mentioned, but a strong background in relevant fields is expected.

How to apply

Visit https://d-rep.org for details about the lab, ongoing projects, and the application process. Interested candidates should reach out by email or connect in person at upcoming conferences. Check the website for further instructions.

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