Research Internships in Big Data Available at PSC

The Pittsburgh Supercomputing Center (PSC), a joint project of Carnegie Mellon, the University of Pittsburgh, and Westinghouse Electric Company, has openings for two undergraduate student interns to gain research experience relating to graph analytics for big data. The Sherlock project (www.psc.edu/sherlock) explores novel approaches to large-scale analytics, especially graph analytics and the development of sophisticated, heterogeneous workflows for big data. Sherlock features sophisticated, purpose-built computer hardware – a YarcData uRiKA data appliance with PSC enhancements – and optimized implementations of W3C-standard software. Research opportunities may include elements of data modeling and analysis, application development using RDF and SPARQL or natively on the graph analytic platform, and performance analysis. These internships, supervised by senior members of PSC’s Strategic Applications Group, will provide unique experience at the frontier of big data research.

Applicants should send CVs and statements of interest to Dr. Nick Nystrom at This email address is being protected from spambots. You need JavaScript enabled to view it..

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Data Exacell (DXC)

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The Data Exacell (DXC) is a research pilot project to create, deploy, and test software and hardware building blocks to enable data analytics in scientific research.

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PSC is a service provider of the Extreme Science and Engineering Discovery Environment (XSEDE).