Job Details

Assistant/Associate/Professor in The Kahlert School of Computing

Position Number: 6648743
Location: Salt Lake City, UT
Position Type: Science - Computer Science

Assistant/Associate/Professor in The Kahlert School of Computing

Details

The Kahlert School of Computing of the Price College of Engineering and the Scientific Computing and Imaging (SCI) Institute at the University of Utah seek applications for an open-rank (Assistant, Associate, or Full Professor) tenure-track or tenured faculty position in data visualization.

Position Overview

The Kahlert School of Computing and the Scientific Computing and Imaging (SCI) Institute at the University of Utah are expanding their research strengths, with multiple new faculty hires at the intersection of computational science, data science, and science and engineering broadly. These hires will enhance the SCI Institute's internationally recognized expertise in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing and computational science. The Kahlert School of Computing is a highly collaborative and collegial community that values and supports faculty engaged in cross-area and interdisciplinary research.

We seek an accomplished and visionary researcher at the forefront of visualization research. The ideal candidate will have a strong track record of interdisciplinary problem-solving across scientific domains. Successful candidates are expected to have an established research program, a history of extramural funding, and a strong publication record in high-impact venues, demonstrating their leadership in research. The successful candidate will have the opportunity to lead a collaborative visualization research program, leveraging the strengths of the Kahlert School of Computing and the SCI Institute. Their work will bridge core computing disciplines-such as human-centered data analysis, computer vision, large-scale AI systems, and machine learning-with cutting-edge, high-impact applications in scientific discovery, biomedical computing, computational medicine, and data-driven modeling.

How to Apply

A PhD in computer science or a related field is required. Candidates are requested to submit (1) a curriculum vitae, (2) a cover letter (1-2 pages) describing their fit with the position, professional experience, including scientific accomplishments and leadership responsibilities, (3) a research statement (3-4 pages), (4) a teaching statement (1-2 pages), and (5) three references.

In their research statement, candidates should describe how their research vision aligns and enhances the strengths of both the Kahlert School of Computing and the Scientific Computing and Imaging (SCI) Institute. Candidates are encouraged to discuss how their work fosters new collaborations within and beyond the University of Utah.

The teaching statement should highlight their approach to instruction and mentorship, including strategies for engaging a diverse student body in computing and interdisciplinary research. Additionally, candidates should discuss their commitment to fostering a welcoming academic environment.

Applicants are encouraged to explore the SCI Institute's mission of multidisciplinary bridge-building (http://www.sci.utah.edu/the-institute/bridges.html) and the Kahlert School of Computing's initiatives in AI, computing research, and education to better understand how their expertise will integrate into the broader research community at the University of Utah.

All submissions will be treated with strict confidentiality. Review of complete applications will begin on Dec 1st, 2025 and will continue until the position is filled.

For additional questions, please contact Paul Rosen (paul.rosen@utah.edu), Search Committee Chair.

About the Kahlert School of Computing

The Kahlert School of Computing is an exciting, growing school with more than a 50-year history of excellence in computer science education, innovation, and research. The current faculty of 72 is composed of 58 tenure-track, 2 research, and 12 instructional faculty. Additional information about the School and current faculty can be found at https://www.cs.utah.edu.

The University of Utah's Kahlert School of Computing is committed to recruiting, welcoming, and supporting a broad community of undergraduate and graduate students, postdoctoral candidates, research scientists, staff, and faculty. To demonstrate this commitment, we have created the Utah Center for Broadening Participation in Computing to welcome students from all backgrounds in the undergraduate majors (see https://ucic.cs.utah.edu). To build a representative faculty, we strongly encourage applications from populations underrepresented in computing, as well as candidates with nontraditional backgrounds. The Kahlert School is also committed to addressing lifestyle priorities and will work with candidates to develop opportunities for partners and family members.

About the SCI Institute

Over more than three decades, the SCI Institute has established itself as an internationally recognized leader in translational innovations across computational and data science, with leading research and training programs in the areas of visualization, scientific and biomedical computing, and image analysis applied to a broad range of challenging problems. Alongside its research goals is a passion to educate students and staff. The SCI Institute is proud to have supported over 400 graduate students and postdoctoral fellows and nearly 100 undergraduates to achieve an education at the cutting-edge of research. SCI graduates move into faculty positions with universities internationally and become innovators with companies such as Microsoft, Meta, Apple, Exxon Mobil, Nvidia, Google, Intel, Adobe, Boston Scientific, Orthogrid, Philips Medical, Kitware, and Medtronic. Additional information about the Institute and current faculty can be found at http://www.sci.utah.edu.

The SCI Institute is a trans-college, research-focused partnering entity at the University of Utah consisting of faculty from 6 academic units in 4 colleges, along with students and staff (185 current personnel). The SCI Institute's vision is to see applied computing bring transformation across disciplines in a way that benefits the University of Utah and society at large. Its mission is to bring together excellence in diverse domains applied to multidisciplinary and interdisciplinary problems of societal importance. The Institute accomplishes these goals through the collaborative development, assembly, and/or application of applied scientific and data computing, imaging, and visualization tools.

About the University of Utah

The University of Utah is a Carnegie Research I Institution. Located in metropolitan Salt Lake City in the foothills of the Wasatch Mountains, the University of Utah is the state's flagship research institution and emphasizes exceptional scholarship, quality teaching, and professional service. The university serves over 32,000 students from across the United States and the world with over 72 major subjects at the undergraduate level and more than 90 major fields of study at the graduate level, including law and medicine. Known for its proximity to seven world-class ski resorts within 40 minutes of campus, the University of Utah encourages an active, holistic lifestyle, innovation, and collaborative thinking to engage students, faculty, and business leaders. The University of Utah provides a generous benefits package with a variety of medical and dental plans from which to choose. Other important benefits include retirement, tuition reduction, a wellness program, and an Employee Assistance Program.

Department: 00062 - School of Computing
City: Salt Lake City, UT
Track: Tenure Track
Close Date: 4/30/2026
Open Until Filled: No
Requisition Number: PRN01405CF

To apply, visit https://utah.peopleadmin.com/postings/190288

All qualified individuals are strongly encouraged to apply. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

The University of Utah is an Affirmative Action/Equal Opportunity employer and does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Affirmative Action (OEO/AA). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at:
https://www.utah.edu/nondiscrimination/
Online reports may be submitted at oeo.utah.edu