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Position Information

**Proposed Faculty Rank** Assistant/Associate/Professor

**Department** 00062 - School of Computing

**City** Salt Lake City, UT

**Track** Tenure Track

**New Position to Begin** January 1, 2026

Details

Kahlert School of Computing and Scientific Computing & Imaging Institute

University of Utah

The Kahlert School of Computing of the Price College of Engineering (Kahlert School) and the Scientific Computing and Imaging Institute ( SCI ) at the University of Utah seek applications for an open-rank (Assistant, Associate, or Full Professor) tenure-track or tenured faculty position in the broad area of Artificial Intelligence (AI) with a focus on Image Analysis and Computer Vision.

Position Overview

This position is part of a strategic expansion in artificial intelligence (AI), image analysis, and data science at the Kahlert School and the SCI Institute at the University of Utah. Both the Kahlert School and the SCI Institute 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. Kahlert School is a highly collaborative and collegial community that values and supports faculty engaged in cross-area and interdisciplinary research, providing a dynamic environment for AI-driven discovery.

The successful candidate will have the opportunity to lead collaborative AI-driven research that spans foundational and applied computing, leveraging the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines—such as 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. A major goal of this strategic expansion is to foster interdisciplinary partnerships across the University and with external collaborators, advancing AI-driven breakthroughs that transform computing, real-world imaging applications, and scientific and biomedical discovery.

What We Seek

We seek an accomplished and visionary researcher at the forefront of artificial intelligence (AI)-driven image analysis, computer vision, and computational imaging. The ideal candidate will have a strong track record of developing foundational AI methodologies and translating them into innovative applications in image-centric data analysis, AI-driven computational discovery, and interdisciplinary problem-solving across scientific and biomedical 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 AI-driven imaging research. Their work should contribute to novel AI-driven approaches for extracting, interpreting, reconstructing, and enhancing visual information, fostering interdisciplinary collaborations and expanding the impact of AI in scientific computing and real-world problem-solving.

We are looking for candidates conducting high-impact, innovative research at the intersection of AI and imaging sciences. Areas of interest include, _but are not limited to,_ foundational and applied advances in machine learning for image analysis, multimodal AI integrating imaging with other data modalities, physics-aware and hybrid modeling for imaging applications, scalable AI for high-dimensional visual data, trustworthy AI for image-based decision-making, and generative models for image understanding, reconstruction, and synthesis.

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 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 their vision for AI-driven image-centric computational research, including both foundational and applied aspects, and how their work aligns with and enhances the strengths of both the Kahlert School and the 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, including past or planned efforts to broaden participation in computing and scientific research.

Applicants are encouraged to explore the SCI Institute’s mission of multidisciplinary bridge-building (**http://www.sci.utah.edu/the-institute/bridges.html**) and Kahlert School’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 Sept 1st, 2025_** _and will continue until the position is filled._

For additional questions, please contact Shireen Elhabian (**[email protected]**), Search Committee Chair.

About the Kahlert School of Computing

The Kahlert School is an exciting, growing school with more than a 50-year history of excellence in computer science education, innovation, and research. As the computing landscape evolves, the Kahlert School supports continuous curriculum enhancement among its faculty. The current faculty of 70 is comprised of 56 tenure-track, 2 research, and 12 lecturing 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 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 4 academic units in 2 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 U.S. 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.

Salt Lake City is a vibrant, major metropolitan area with a diverse, multicultural population and numerous cultural and outdoor activities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the Nation’s fastest-growing technology sectors and the University of Utah is acclaimed for its successes in technology-driven start-ups. The University has invested significantly in the SCI Institute and substantial further investments are now enabling these recruitments.

Salt Lake City is home to a robust array of diverse communities facilitating numerous opportunities for interaction with a range of civic and political organizations, given the city’s role as the governmental and social nerve center of the state. Utah public schools serve a diverse student body (statewide average: eight percent ELs and twenty-six percent non-white), notably higher in its urban districts. Utah is also home to the first state-legislated and funded K-16 dual language education model in the country.

EEO/Non-Discrimination Information

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

Notice

The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

https://safety.utah.edu/safetyreport This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.

Special Instructions for Candidates

**Open Date** 04/28/2025

**Close Date** 01/31/2026

**Open Until Filled** No

**Requisition Number** PRN01357CF

**Type** Faculty