[robotics-worldwide] [jobs] Postdoc position in stochastic scheduling and optimisation at ACFR
steven.scheding at sydney.edu.au
Tue Oct 11 16:30:06 PDT 2016
Applications at: Live Advertisement<https://urldefense.proofpoint.com/v2/url?u=http-3A__sydney.nga.net.au_cp_index.cfm-3Fevent-3Djobs.checkJobDetailsNewApplication-26returnToEvent-3Djobs.processJobSearch-26jobid-3D29D259AC-2D5C08-2D416D-2D8B6D-2DA67B00F07757-26CurATC-3DEXT-26CurBID-3D949319bc-2D8898-2D4f11-2Dac4b-2D9db401358504-26jobsListKey-3D85c15159-2D7377-2D48c3-2Da1dc-2D121e9d575f9a-26persistVariables-3DCurATC-2CCurBID-2CjobsListKey-26lid-3D04356250008&d=DQIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=-eA0hJ3ShC_6QY66jPNCnGLDEzUKMt8TpltyBPDQZcg&s=QA9Mu1VO6jqMZYKnlvjvJlUj5zpxRT6EvamcKX7FEyM&e= >
The Rio Tinto Centre for Mine Automation<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.acfr.usyd.edu.au_rtcma&d=DQIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=-eA0hJ3ShC_6QY66jPNCnGLDEzUKMt8TpltyBPDQZcg&s=Z2dvLucbKhYfHvFPioKFOdczIHoybl8mWnVIxJiIPdI&e= > (RTCMA) is a joint partnership between The Australian Centre for Field Robotics (ACFR) at the University of Sydney and, Rio Tinto, in operation since 2007. The aim of the centre is to develop and implement the vision of a fully autonomous, remotely operated mine.
With major funding support from Rio Tinto, the RTCMA has built up a successful technical and research program, ranging from the construction and fielding of large-scale robotic platforms and information systems, through to high-quality peer-reviewed journal papers. Currently the Centre is staffed by around 25 world-class researchers, technical staff, and PhD students from locations spanning six continents. The Centre forms a significant part of the larger field robotics community at the ACFR, which provides a range of specialists across over 100 research and technical staff.
We are currently seeking a self-motivated and well-qualified researcher to contribute to the theoretical and applied tasks of the robotics research group, with a focus on scheduling and optimisation of equipment and operations in a mining context. This will provide an exceptional opportunity to work closely with academia and Rio Tinto at the intersection of fundamental research into field-robotics, operations research and their application to mining. You will be expected to build research areas, engage in academic publication of research, work with a team of researchers and technical staff, and may also have the opportunity to teach at postgraduate and industry levels.
The successful person will have:
* A PhD, or in the process of being awarded one, in engineering, computer science, applied mathematics or a related discipline, be a team player with good communications skills and satisfy the following key requirements:
* Expert knowledge of key operations research areas, including state-of-the-art optimisation scheduling and task-assignment algorithms, and stochastic optimisation techniques
* A strong mathematical understanding of probabilistic uncertainty and risk
* Experience in developing and using stochastic optimisation algorithms, and simulations of complex systems involving many interacting agents
* Desire to work on theoretical tasks related to real systems, including experimental validation using simulation.
* Experience in software development, e.g. Python, C++ or Matlab
In addition, the following will be advantageous:
* Expert knowledge of closely related areas, such as data-fusion, probabilistic state estimation, machine learning techniques
* Experience with industry engagement (especially the mining or transport logistics industry)
* Experience in mining or mining optimisation research areas
Steven Scheding | Director
The Rio Tinto Centre for Mine Automation
THE UNIVERSITY OF SYDNEY
The Rose St. Bldg. J04 | The University of Sydney | NSW | 2006
T +61 2 9114 0626 | M +61 412 414 850
E steven.scheding at sydney.edu.au<mailto:steven.scheding at sydney.edu.au> | W https://urldefense.proofpoint.com/v2/url?u=http-3A__sydney.edu.au&d=DQIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=-eA0hJ3ShC_6QY66jPNCnGLDEzUKMt8TpltyBPDQZcg&s=AM4hyO5AJ4Wcm3wMlPc2CuQyjqqYTSH92q9QRIIxqC4&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__sydney.edu.au_&d=DQIFAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=-eA0hJ3ShC_6QY66jPNCnGLDEzUKMt8TpltyBPDQZcg&s=3xjGVxnXya8Lals_h2nNKoecD4qbrinkApcyIMwJaFw&e= >
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