Research Fellow in Optimization & Machine Learning of Flows in Complex Networks

Melbourne, Australia
18 Jul 2017
End of advertisement period
17 Sep 2017
Contract Type
Fixed Term
Full Time

School of Mathematics and Statistics 

Faculty of Science

Salary: $66,809 - $90,657 p.a. (Level A PhD entry level $84,458 p.a.) plus 9.5% superannuation

Two year Research Fellowship in Optimization and Machine Learning of Disrupted Flows in Complex Networks, aimed towards understanding, design and management of resilient networked systems. You will work with a multidisciplinary team working on challenges at the interface of research fields such as data analysis, computer science, operations research, and statistics.

Close date: 17 Sep 2017

Position Description and Selection Criteria

Download File 0043594.pdf

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