[robotics-worldwide] Mining Automation - Postdoctoral and Technical Positions - ACFR

Salah Sukkarieh salah at acfr.usyd.edu.au
Fri Aug 17 11:52:38 PDT 2007


Approximately 17 Postdoctoral Research Positions and 13 Technical Positions


The Australian Centre for Field Robotics (ACFR) at the University of Sydney
has established a major new Centre for Mine Automation. Rio Tinto, a global
mining company, is providing $21m of funding for the initial five years of
this new Centre. The ACFR is seeking to hire approximately 30 new research
and technical staff to be part of this exciting new robotics initiative.
Detailed information on these positions and how to apply can be found at
http://www.usyd.edu.au/CMA/ .


We are seeking highly qualified and motivated post-doctoral research staff
in the following areas (approximately 17 positions):

*	Sensor technologies, especially applied electro-optics,
hyperspectral imaging, 3D laser-scanning, computer vision. These will
compliment existing expertise in mm-wave radar and GPS/INS.
*	Data Fusion, including spatial data fusion methods, geographical
information systems, Gaussian process models, Bayesian methods. These will
add to existing strengths in these areas.
*	Machine learning, especially kernel methods, data compression,
automated recognition and other methods. 
*	Geostatistics, especially Kriging methods, and use of tools such as
R, S and Vulcan.
*	Control, including machine control, estimation methods, cooperative
*	Systems engineering with a particular emphasis on architecture
design, middleware development and communications as applied to autonomous
or robotic systems.


Experience in the broad area of field robotics will be an advantage. All
research staff will be expected to develop and engage in major research
areas of the Centre, to publish and to teach at post-graduate and industry
levels. Appointments will be made at a variety of different levels depending
on qualifications and experience.


We are also seeking motivated and capable post-graduate technical staff in
the following areas (approximately 13 positions)

*	Instrumentation, design of specific sensor payloads to meet rigorous
environmental specifications. Measurement of vibration, rotation, noise,
temperature, and others. Use of other sensors including imaging devices,
lasers, radars, for example. Compliance testing.
*	Hardware design, modular robust electronics design and testing, use
of EDA tools, FPGA design. Including designs based on COTs and unique pieces
of hardware. Interfacing to existing hardware (PLCs, CAN bus, MOD bus, and
*	Software design and maintenance, development of embedded software,
languages including C++, C, use of source-safe. Data base development and
management. Middleware standards and use.
*	Mechanical and mechatronics design. Remote control and tele-remote
systems, hydraulics, pneumatics and electrical actuation. Innovative
mechanical systems design as applied to robotics. Use of CAD design tools.

An ability or demonstrated ability to solve problems "in the field" and
troubleshooting will be an advantage. Appointments will be made at a variety
of different levels depending on qualifications and experience.



The ACFR is a world-renown research group in field robotics and automation.
The ACFR consists of over 150 research staff and students. The ACFR is the
lead partner in the Australian Research Council (ARC) Centre of Excellence
for Autonomous Systems, hosts the Defence Science and Technology
Organisation (DSTO) Centre of Expertise in Uninhabited and Autonomous
Systems and is a partner in the Cooperative Research Centre (CRC) Mining.
The ACFR has world-class facilities for robotics research, including sensors
laboratories, large vehicle high-bay, flight test facilities, ground
vehicles, a UAV fleet and sub-sea vehicles. The ACFR has a track record of
successful industry collaboration in areas such as automated cargo handling,
mining and uninhabited defence systems. 


For further information contact Prof Hugh Durrant-Whyte
(hugh at acfr.usyd.edu.au) or A/Prof Salah Sukkarieh (salah at acfr.usyd.edu.au) 




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