[robotics-worldwide] [jobs] Postdoctoral positions at the Australian Centre for Field Robotics

Steven Scheding steven.scheding at sydney.edu.au
Tue Nov 11 15:35:09 PST 2014


The University of Sydney is currently seeking four Postdoctoral Research Associates at the Australian Centre for Field Robotics. Visit sydney.edu.au/recruitment<http://sydney.edu.au/recruitment/> and search by the reference number 1807/0914 for more information and to apply.

POSTDOCTORAL RESEARCH ASSOCIATES (4 POSITIONS)<http://sydney.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.processJobSearch&jobid=e73eb179-cda4-97d4-ce93-802618a88fba&CurATC=EXT&CurBID=949319bc-8898-4f11-ac4b-9db401358504&jobsListKey=00bbdab9-2687-4a16-ab1a-b0c0e31af5ee&persistVariables=CurATC,CurBID,jobsListKey&lid=43859000008>
RIO TINTO CENTRE FOR MINE AUTOMATION
AUSTRALIAN CENTRE FOR FIELD ROBOTICS
REFERENCE NO. 1807/0914



  *   Join a world-class research and technical team
  *   Be part of the development of the vision of a fully autonomous, remotely operated mine

  *   Four positions available. Each are full-time, fixed term (1 year). Remuneration package: $90Kp.a. which includes leave loading and up to 9.5% super


The Rio Tinto Centre for Mine Automation<http://www.acfr.usyd.edu.au/rtcma> (RTCMA) was established by The Australian Centre for Field Robotics (ACFR) at the University of Sydney in 2007. Since its launch, a world-class research and technical team of more than 40 talented scientists and engineers have joined. Funded by the global mining company Rio Tinto, the aim of the Centre for Mining Automation is to develop and implement the vision of a fully autonomous, remotely operated mine.

We are currently seeking four self-motivated and well-qualified researchers to contribute to the theoretical and applied tasks of the planning research group, with a focus on the following fields:

  *   Scheduling and Optimisation in Mining Scenarios
  *   Autonomous Trajectory Planning in Mining Scenarios
  *   Dynamic Modelling of Complex Planning Systems
  *   Stochastic Optimisation for Complex Planning Systems

This will provide an exceptional opportunity to work closely with academia and Rio Tinto at the intersection of fundamental research into field-robotics and mine operations. You will be expected to build research areas, engage in academic publication of research, and may also have the opportunity to teach at postgraduate and industry levels.

You will have a PhD, or in the process of being awarded one, in engineering, computer science or a related discipline, be a team player with good communications skills and satisfy the following key requirements:

  *   expert knowledge in one of the fields mentioned above
  *   desire to work on theoretical tasks related to real systems, including experimental validation using simulation
  *   experience in software development, e.g. C++, Matlab or Python

Please note - each position has its own requirements and a list of selection criteria, listed in the online application form.

The positions are full-time fixed term for one year and are subject to the completion of a satisfactory probation period for new appointees.

CLOSING DATE: 30 November 2014

The University is an equal opportunity employer committed to equity, diversity and social inclusion. Applications from equity target groups, including women and people with disabilities are encouraged. As the University of Sydney has established a scheme to increase the number of Aboriginal and Torres Strait Islander staff employed across the institution, applications from people of Aboriginal and Torres Strait Islander descent are also encouraged.

(c) The University of Sydney



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