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Postdoctoral fellowship at the Berkeley Lab (LBNL)

 

The Future Technologies Group of the Berkeley Lab's Computational Research Division has an immediate opening for a postdoctoral fellow to work on research in energy efficient graph analysis and data mining. 

This project will explore methods to increase the energy efficiency of parallel graph algorithms and data mining tasks. A new family of algorithms will be developed to drastically reduce the energy footprint and running time of the graph and sparse matrix computations that form the basis of various data mining techniques.  This appointee will be part of an experienced research team and will be supported through a long-term DOE research grant. Deliverables will include proof-of-concept software implementations and publications targeted at top-tier research conferences and journals.

More information can be found in this flyer: http://gauss.cs.ucsb.edu/~aydin/75939_flier.pdf

Applications are accepted until the position is filled, and can be made here: 
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75939
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