University of Utah Hiring for Assistant/Associate Professor in Image Analysis at Salt Lake City, Utah Full Time

Position Information

Proposed Faculty Rank Assistant/Associate

Department 00062 – School of Computing

City Salt Lake City, UT

Track Tenure Track

New Position to Begin July 1, 2024

Details

The Scientific Computing and Imaging ( SCI ) Institute at the University of Utah is growing and pursuing multiple new faculty hires over the next 3 years. These hires will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in scientific, information, and biomedical visualization; image and data analysis; and interdisciplinary scientific computing. A major goal is to attract new partnerships across the University and beyond. Candidates whose research expertise integrates social and technical aspects are of particular interest.

This specific recruitment is for the rank of Assistant or Associate tenure-track faculty position in the broad area of image analysis. Successful candidates are expected to already have an established research program with extramural funding and significant scholarly publications. It is also expected that the candidate’s research program will align with and complement the SCI Institute’s core research thrusts, i.e., scientific, information, and biomedical visualization, image and data analysis, and interdisciplinary scientific computing, and advance its goals of multidisciplinary and translational impacts. Candidates will have an academic home in the Kahlert School of Computing of the Price College of Engineering.

The University of Utah is a Carnegie Research I Institution, and 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 School encourages collaborative research and curriculum development among its collegial faculty. The current faculty of 69 is comprised of 57 tenure-track, 2 research, and 10 lecturing faculty. Additional information about the School and our current faculty can be found at http://www.cs.utah.edu.

The University of Utah’s Kahlert School of Computing is committed to recruiting, welcoming, and supporting a diverse community of undergraduate and graduate students, postdoctoral candidates, research scientists, staff, and faculty. To demonstrate this commitment, we have created the Utah Center for Inclusive Computing to broaden participation in the undergraduate majors (see https://ucic.cs.utah.edu/). The School is also committed to addressing lifestyle priorities and will work with candidates to develop opportunities for partners and family members.

Salt Lake City is a desirable place to live, with a vibrant downtown showcasing cultural activities and dining options. Utah is renowned for its access to the outdoors, including world-class hiking, skiing and climbing opportunities. 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.

All candidates are invited to submit 1) a curriculum vitae, 2) a cover letter that describes their professional experience (including scientific accomplishments and leadership responsibilities), 3) a research plan (up to 3 pages), and 4) a teaching strategy (up to 1 page). In these documents, candidates should discuss their vision for interdisciplinary, computational research and how it will integrate with existing strengths at the University of Utah. This research should fit in the context of the SCI Institute’s mission of multidisciplinary bridge building ( http://www.sci.utah.edu/the-institute/bridges.html ) and its mission to increase access to computing research and training.

Equity, diversity, and inclusion are three core values of the University of Utah’s mission. ( https://officeforfaculty.utah.edu/faculty-handbook/university-mission-and-values/ ). The University of Utah values candidates who have experience working in settings with students from diverse backgrounds and a commitment to improving access to higher education for all. We are seeking candidates who are passionate about fostering a welcoming and inclusive environment for learning, research, and professional development.

The University of Utah is an Equal Opportunity/Affirmative Action employer and educator. Minorities, women, veterans, and persons with disabilities are strongly encouraged to apply. Veterans’ preference is extended to qualified veterans. Reasonable disability accommodations will be provided with appropriate notice. For additional information about the University’s commitment to equal opportunity and access see: http://www.utah.edu/nondiscrimination/.

For additional questions, please contact Sarang Joshi ( [email protected] ) or Hari Sundar ( [email protected] ) Search Committee Co-Chairs.

About the SCI Institute

Over more than two 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. For example, the SCI Institute in partnership with the Kahlert School of Computing is ranked by CSRankings ( http://csrankings.org ) as housing the top visualization and High Performance Computing group internationally. 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 Apple, Exxon Mobil, Nvidia, Google, Intel, Boston Scientific, Orthogrid, Philips Medical, 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 in Salt Lake City, the hub of a large metropolitan area with excellent cultural and recreational opportunities. Utah and the stunning Salt Lake Valley are undergoing robust economic growth with one of the nation’s fastest-growing technology sectors; 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.

EEO/Non-Discrimination Information

The University of Utah values candidates who have experience working in settings with students, staff, faculty and patients from diverse backgrounds and possess a strong commitment to improving access to higher education, employment opportunities, and quality healthcare for historically underrepresented groups.

Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities and protected veterans are 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:

Director/ Title IX Coordinator

Office of Equal Opportunity and Affirmative Action ( OEO /AA)

383 University Street, Level 1 OEO Suite

Salt Lake City, UT 84112

801-581-8365

[email protected]

Online reports may be submitted at oeo.utah.edu

For more information: https://www.utah.edu/nondiscrimination/

To inquire about this posting, email:[email protected] (%[email protected]) or call 801-581-2300.

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.

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Special Instructions for Candidates

Open Date 02/01/2024

Close Date

Open Until Filled Yes

Requisition Number PRN01177CF

Type Faculty