Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Deep brain stimulation
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
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, as are candidates who can contribute to the University’s diversity.

This specific recruitment is for a tenure track faculty position at the Full or Associate Professor level in visualization. While we will consider all areas of visualization, we are particularly interested in candidates with expertise and an established research record in scientific visualization. Successful candidates are expected to 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. The candidate should advance the SCI Institute’s goals of multidisciplinary and translational impacts. Candidates should have earned a Ph.D. in Computer Science or a closely related field and will have an appropriate academic home within a department in the College of Engineering, Medicine or Science.

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) directly to the University of Utah HR. 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).

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 information, please contact Chris Johnson (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. 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.