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