[Job-offers-cs] Dynamical Systems, Complex Systems and Data Science post-docs in Western Australia.

Pekka Orponen pekka.orponen at aalto.fi
Sat Apr 6 14:54:41 EEST 2019


-------- Forwarded Message --------
Subject: [SIAM-DY] Dynamical Systems, Complex Systems and Data Science 
post-docs in Western Australia.
Date: Fri, 29 Mar 2019 00:35:50 +0000
From: Michael Small <michael.small at uwa.edu.au>
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: The Dynamical Systems SIAG mailing list <siam-dy at siam.org>

The Australian Centre for Transforming Maintenance through Data Science 
is looking for THREE research associates/ fellows and an Associate 
Director. Come join a talented group of industry and academic partners 
based here in Perth, Western Australia. Applicants from Dynamical 
Systems and Complex Systems are particularly welcome - especially for 
“theme 2” (below). Perth was voted one the world's top 10 liveable 
cities in 2017. Two Postdoc positions are based at UWA 
(http://external.jobs.uwa.edu.au/cw/en/job/502801/research-associate-research-fellow-transforming-maintenance-through-data-science), 
and one Postdoc 
(https://applynow.net.au/jobs/ni/CURTIN601-research-associate-fellow-optimisation-and-operations-research) 
and the Assoc Director 
(https://applynow.net.au/jobs/ni/CURTIN602-associate-director-arc-training-centre-for-transforming-maintenance-through-data-science) 
at Curtin University. Closing dates April 26th 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 at the industry partners.

The Roles:

Postdoctoral Research Fellow – Supporting the Maintainer theme

This opportunity will involve developing artificial intelligence methods 
and applications to support maintenance activities, such as machine 
learning, ontological reasoning, natural language processing, image and 
video processing, knowledge capture and knowledge representation. 
Working with a team of academics from Curtin, UWA and CSIRO and with 
partner organisations, you will be expected to conduct research leading 
to publications and industry impacts relevant to the theme.

Postdoctoral Research Fellow – Supporting the Engineer theme

This position involves research into the development of mathematical and 
statistical tools for predictive maintenance activities – predicting 
likelihood of failure or state change from time series data. In 
particular the successful candidate will work on a variety of techniques 
drawn from: nonlinear dynamics, complex systems, Bayesian methods, 
nonlinear system identification, machine learning, and spectral methods. 
You will be expected to advise and assist with the supervision of 
students across all these specialisms and working in collaboration with 
our industry partners.

Postdoctoral Research Fellow – Supporting the Manager theme

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.

Associate Director

A rare opportunity exists for an associate director for the Australian 
Centre for Transforming Maintenance through Data Science. This new 
academic position will contribute intellectually to the research 
programs across the centre as well as provide additional leadership to 
assist the centre director Professor Andrew Rohl. You will contribute to 
at least one of the three research themes in the centre.
·       Supporting the maintainer
·       Supporting the engineer – managing uncertainty
·       Supporting the manager – making decisions


Michael Small
CSIRO-UWA Chair of Complex Engineering Systems
http://school.maths.uwa.edu.au/~small/
UWA Office Ext. 3877     Mobile: 0455 244 174



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