Taking the Pulse of Politics
Computers Learn the Fine Art of Translation
Each Image Tells a Thousand Words
Looking at Your Brain on Big Data
Early Warning System for Disease Outbreaks
Millions of Tweets Affect Box Office Sales
Offering Help for the Hopeless
Taming the Human Side of Big Data
The Muscle Behind the Big Data
New Building, 20 New Faculty Positions for Data Science
Searches for tenure track faculty in data science and related disciplines.
Meaningful patterns and high-level concepts.
The computers, servers, people and facilities that make it happen.
(October 18, 2013) University of Rochester President Joel Seligman announced this morning that the University is committing $50 million - in addition to more than $50 million it has spent in recent years - to greatly expand its work in the burgeoning field of data science. The commitment will include the creation of an Institute for Data Science, construction of a state-of-the-art building to house it, and as many as 20 new faculty members with expertise in the field.
The university has multiple openings for tenure-track faculty in data science and related areas. The follow searches are currently open:
Interdisciplinary Research in Data Science
Electrical & Computer Engineering
Brain & Cognitive Science
Faculty Openings in the School of Medicine & Dentistry
We often hear how it is transforming science, business, and our everyday lives. Yet for all of the excitement around this idea, stories about data science often overlook what is most important about the field—not just that we are swamped with data, but, rather, that scientists and engineers are creating powerful new techniques for collecting, managing, and analyzing huge data sets to analyze meaningful patterns and high-level concepts in data. The potential applications are astounding, ranging from the prevention of global epidemics, to accurate predictions about which products will “sell” and which ones won’t.
CIRC supports 550 users with individual and group training, and it hosts monthly symposiums where researchers can showcase their work, learn about emerging computing technologies, and participate in collaborative discussions.
Those users include faculty members, postdoctoral scholars, research staff, graduate students, and undergraduates from more than 35 River Campus and Medical Center departments and centers.