"Assistant Professor in Data Visualization"

Job Details

Position Summary

The Lamar Dodd School of Art at the University of Georgia invites applications for a full-time, tenure-track Assistant Professor in Data Visualization, beginning August 2026.

This position is part of the President’s Strategic Hiring Initiative (PHI) in Risk, Resilience, and Sustainability, which emphasizes Disaster, Risk, and Communication. The cluster fosters interdisciplinary collaboration across the Franklin College of Arts and Sciences and other UGA schools and colleges to address pressing challenges involving environmental hazards, risk perception, and the communication of complex data.

We seek candidates committed to cross-disciplinary collaboration, particularly at the intersections of design, science, technology, and public engagement. The role offers opportunities to collaborate with colleagues across the arts, humanities, and sciences to translate complex information and datasets into clear, meaningful, and accessible forms—ranging from visual communication and information design to data storytelling and generative or emergent media.

The successful candidate will teach primarily at the undergraduate level, with opportunities for graduate instruction related to data visualization, generative media, graphic design, and visual communication. The typical teaching load will be four courses (2/2, 12 credits) per academic year. The candidate will maintain an active program of research and creative practice, mentor students, contribute to curricular development, and participate in departmental, college, and university service. This position supports the School’s efforts to expand its program in scientific visualization.

Special Instructions to Applicants

Full consideration will be given to complete applications received by January 15, 2026. Review of applications will continue until the position is filled. Applicant materials should demonstrate how the candidate’s background, accomplishments, research interests, and teaching philosophy align with the position. Complete applications will include the following supporting documents (as PDF files):
• Letter of application
• Curriculum Vitae
• Research Portfolio: up to 10 examples of recent research, creative, or professional work
• Teaching portfolio with sample course materials and up to 10 examples of student or mentee work with a brief project description.
• List of 3–5 references with contact information.
(Letters of recommendation will be requested later in the search process.)

Questions and other inquiries should be directed to LeeAnne Krause, leeanne.krause@uga.edu.

Posting Details

Posting Number: F2595P
Working Title: Assistant Professor in Data Visualization
Department: Franklin-School of Art
Anticipated Start Date: 08/01/2026
Location of Vacancy: Athens Area

Position Information

Classification Title: Assistant Professor
Faculty Rank: Assistant Professor
Contract Type: Academic (9 mo.)
Tenure Status: Tenure Track

Minimum Qualifications

Terminal degree (MFA or equivalent, or PhD) in Art, Design, or a related field by the time of appointment.

Additional Requirements

• Candidates with a non-terminal master’s degree must document exceptional accomplishments in their respective field and be approved for a terminal degree exception before hire.
• Legal authorization to work in the United States at the time of appointment.

Preferred Knowledge, Skills, Abilities and/or Competencies

Ideal Candidates will demonstrate:
• A strong foundation in visual communication with a focus on using mixed methods and media to translate diverse types of data into engaging visual experiences.
• Research or creative practice of communication design, data visualization, information graphics, visual communication design, or generative media.
• Evidence of successful college-level teaching or mentoring related to visual communication.
• Demonstrated commitment to interdisciplinary collaboration in scholarship, practice, or creative inquiry.
• Critical engagement with the social, environmental, or ethical dimensions of data, information, or research findings.
• Additional research and/or pedagogical strength in areas such as: multisensory and human-centered design, speculative or experience design; interactive or motion design; 3D modeling; machine learning or data-driven generative art, or emerging media and technologies