The recurring difficulties of creating, managing, and understanding extremely large and complex datasets have become a common thread in many of our projects and collaborations.
CEDMAV also develops its own training program to teach undergraduate and graduate students the techniques needed for dealing with extreme data problems, while preparing them for the challenges of modern science investigation and the management of large data centers.
Tenure-Track Faculty Positions Opening
The University of Utah’s School of Computing is seeking to hire four tenure-track faculty members at the assistant professor level. Applications will be considered at more advanced ranks in exceptional cases. The School is a demonstrated leader in research that spans multiple areas within computer science and also crosses disciplinary boundaries. Our priority areas are Big Data Analytics and Scalable Computation: principled approaches to big data analytics with a focus on the development of scalable techniques that are efficient for large scale storage and computing infrastructures.
Applicants must have earned a Ph.D. in Computer Science or a closely related field and have a strong research presence and publication record in top tier venues in the applicable area.
The University of Utah is located in Salt Lake City, the hub of a large metropolitan area with excellent cultural facilities and unsurpassed outdoor recreation opportunities just a few minutes away from campus. Additional information about the school and our current faculty can be found at http://www.cs.utah.edu. Please send curriculum vitae, a research goals statement, a teaching goals statement, and names and addresses of at least four references.
News from CEDMAV
Dec 12, 2014
This year at SC14 in New Orleans, the SCI Institute presented demos at three locations: Utah, KAUST and DOE booths. Demonstrations all involved remote data visualization streaming from CHPC in Utah, Argonne National Laboratory, and KAUST (Saudi Arabia).… Read more
Dec 09, 2014
Congratulations to Valerio Pascucci whose new co-edited book on Topological and Statistical Methods for Complex Data has just been published. Edited by J. Bennett, F. Vivodtzev, V. Pascucci Latest peer-reviewed results in a growing research area Many… Read more
Nov 17, 2014
Congratulations to Peer-Timo Bremmer for winning the 2014 IEEE VGTC International Data-Visualization Contest. The Image, which was published in Science, shows a 60 year trend in ocean temperature. Read more
Aug 28, 2014
The Federal Laboratory Consortium for Technology Transfer (FLC) Far-West Region presents Outstanding Partnership award to Ultrascale Visualization Climate Data Analysis Tools. This is a joint partnership with Lawrence Livermore National Laboratory, New York… Read more
May 20, 2014
Congratulations to Valerio Pascucci and Peer-Timo Bremer whose co-edited book "Topological Methods in Data Analysis and Visualization III" has just been published. Read more