Research Position (PhD or postdoc) on Scalable Mining of Uncertain Data Streams

Title: HiPerDNO Data Mining Research Associate
Grade: 7 (Salary in range £ 28,983 - 35,646pa)

This position is based at the Oxford e-Research Centre
(OeRC, http://www.oerc.ox.ac.uk)
and within the EC FP7 'High Performance Distributed Network Operation'
(HiPerDNO) project, which brings together researchers in electricity
distribution networks, electrical engineering, and computing science
from Brunel, IBM Haifa, and Oxford, as well as European energy
companies (EDF, Electricite de France, Union Fenosa, Indra, Gtd,
Korona, Elektro Gorenjska, and Iset).

Future electricity distribution networks with mass deployment of
network equipment sensors and instrumentation, millions of smart
meters, small-scale embedded generation, and responsive load will
generate vast amounts of data requiring near to real-time analysis. It
is the aim of this project to develop a new generation of distribution
network management systems that exploit novel near to real-time high
performance computing (HPC) solution. The approach of this project is
to employ cloud computing that will enable scalable data mining,
feature extraction, and near to real-time state estimation.

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