Research Associate/Fellow Optimisation and Operations Research
Curtin University

The Australian Centre for Transforming Maintenance through Data Science

Closing date: 26th April 2019

The Australian Centre for Transforming Maintenance through Data Science is a joint collaboration between Curtin University, The University of Western Australia and CSIRO, and industry partners Alcoa, BHP and Roy Hill, as well as CORE Innovation Hub and the Minerals Research Institute of Western Australia. The Centre, co-funded by the Australian Research Council through the Industrial Transformation Training Centre scheme, aims to train a new generation of data scientist specialists, equipping them with the skills needed to develop new data science methods for solving complex modelling and optimisation challenges in asset maintenance. This cohort of data scientists will drive an exciting transformation of maintenance practice in the Australian resources industry based on new advances in machine learning, artificial intelligence and optimisation. The Centre involves a team of 20 scientists and engineers at the three research institutes together with practicing engineers and data scientists at the industry partners.

Your new role

A unique opportunity exists for a postdoctoral researcher to help drive the Centre's optimisation research program. The position will involve research into the development of new optimisation theory and algorithms to solve large-scale optimisation problems related to maintenance scheduling and planning. This will involve a variety of different optimisation techniques such as combinatorial optimisation, constraint programming, evolutionary algorithms, and nonlinear optimisation.

The research fellow will be required to

  • Liaise with industry contacts and assist students to effectively work with teams consisting of both industry and university stakeholders;
  • Work across institutions and act as a mentor for a cohort of research students during study and industry placement; and
  • Direct and supervise final year undergraduate students and PhD students.

This is an exciting opportunity to apply mathematical optimisation techniques to real-world problems faced by the Australian resources industry.

For more information and to apply, click here.



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