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U. of Melbourne: Postdoc in Data Mining


The position requires a PhD, with research experience in data mining and high quality publications. Expertise in graph mining and time series mining is also desirable.



U. of Melbourne At: U. of Melbourne
Location: Melbourne, Australia
Web: www.unimelb.edu.au


The Department of Computing and Information Systems at the University of Melbourne has an opening for a postdoctoral research fellow in the area of data mining, with a particular emphasis on data mining for heterogeneous dynamic networks. The fellow will be supported by a research grant from the Australian Research Council Discovery scheme for two years.

The project is overseen by Professor James Bailey, Professor Rao Kotagiri, Professor Christopher Leckie, Professor Ian Davidson and is part of the activities of a leading group of researchers in data mining.

The position requires a PhD degree in computer science or a related discipline, with research experience in data mining, documented by a record of high quality publications. Expertise in graph mining and time series mining is also desirable. The fellow will be working with a team of academics and PhD students. Strong written and verbal skills are expected.

For further information about the position, interested candidates may contact James Bailey, baileyj@unimelb.edu.au.

The position has been advertised by the University of Melbourne, with a closing date of 6 April 2014.

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