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 high performance computing, scalable data analytics and machine learning, and interdisciplinary computational and data-enabled science and engineering. A major goal is to help conceptualize, design and build the software systems and services that will be essential to solving the next generation of multidisciplinary, data-intensive, and AI-enabled scientific grand challenges on the machines of the next decade and beyond based on computer architectures that lie beyond Exascale, and to attract new partnerships across the University and beyond. Candidates whose research expertise involves workflows, task-flows, schedulers, orchestrators, and/or AI runtimes at extreme scales are of particular interest. This specific recruitment is for a tenure track faculty position within the SCI Institute with an academic appointment is an appropriate University of Utah School or Department. We are seeking an Assistant, Associate or Full Professor Faculty (Tenure Track) Position with demonstrated abilities in teaching and research. This hire will expand the core research expertise at the SCI Institute, further enhance its strong research reputation in high performance computing, scalable data analytics and machine learning, and interdisciplinary computational and data-enabled science and engineering. A major goal is to attract new partnerships across the University and beyond.

We are particularly interested in candidates with demonstrated expertise and ability to perform world class research in these areas which may be demonstrated by a strong publication record in highly ranked journals and conferences or a strong record of deploying widely used software systems. Prior experience in attracting funding from national funding agencies, such as NSF, DOE, DOD, for example is highly desirable for senior applicants.

Candidates are expected to have a PhD degree from a quantitative field, such as, computer science, engineering, electrical and computer engineering, applied mathematics, statistics, applied physics, etc. Candidates with extensive research experience in research laboratories are also welcome to apply if they have a demonstrated track record in the relevant areas and have previous training in the quantitative fields listed above.

All candidates are invited to submit a curriculum vitae, a cover letter containing a description of professional experience (including scientific accomplishments, leadership responsibilities and 3 references), a research plan (up to 3 pages), teaching strategy (up to 1 page), and a one page statement that describes how the candidate will contribute to an inclusive teaching and research environment (upload as “Applicant Document Other” ), and contact for three to five references. Applicants should describe their vision for research leadership within the context of the SCI Institute’s multidisciplinary mission (http://www.sci.utah.edu/the-institute/bridges.html).

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/.

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

For additional questions, please contact Martin Berzins (This email address is being protected from spambots. You need JavaScript enabled to view it.) Search Committee Chair.

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 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.

The SCI Institute is also leading the recently announced $100 million investment in the newly created Responsible AI Initiative that will advance AI and its applications in ways that achieve societal good while also protecting privacy, civil rights and liberties, and promoting principles of accountability, transparency and equity. Additional information about the Institute and current faculty can be found at http://www.sci.utah.edu.

The University of Utah is a Carnegie Research I Institution and member of the Association of American Universities (AAU); 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.

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 and immunizations. 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.

For additional questions, please contact Martin Berzins (This email address is being protected from spambots. You need JavaScript enabled to view it.) Search Committee Chair.