[robotics-worldwide] Reminder: ACFR Fellowships at the University of Sydney

Stefan Williams stefanw at acfr.usyd.edu.au
Sun Sep 12 21:42:11 PDT 2010


FELLOWSHIPS

AUSTRALIAN CENTRE FOR FIELD ROBOTICS (ACFR)
FACULTY OF ENGINEERING AND INFORMATION TECHNOLOGIES
THE UNIVERSITY OF SYDNEY


The Australian Centre for Field Robotics at the University of Sydney is
currently seeking to fill two 3-year research fellowship positions
associated with their marine robotics program.


ACFR SUPER SCIENCE FELLOWSHIP

REFERENCE NO. 1972/0710

The ACFR in collaboration with the School of Biological Sciences and the
University of Tasmania has secured funding through the Australian
Research Council Super Science Fellowship program to undertake
fundamental research in the area of image classification and geospatial
modelling and to see it applied to on-going programs supported by
Australia's Integrated Marine Observing System (IMOS). The objectives of
the successful project are to develop techniques for efficiently
extracting scientifically relevant information for marine habitat
assessment using high-resolution, integrated geo-spatial data collected
by Autonomous Underwater Vehicle (AUV) systems. The large volume of data
being collected by these platforms requires automated techniques to
bridge the gap between in-situ observations and the information
ultimately needed for marine habitat monitoring. In particular, the use
of machine vision and machine learning techniques to enhance the
interpretation and annotation of imagery will be critical in avoiding
bottlenecks associated with human analysis of seafloor images. There is
therefore a requirement to bridge the gap between the in-situ
observations and the information required to answer specific scientific
questions concerning changes in marine habitats.

This position requires a PhD in a relevant field awarded not more than
three years before the commencement date for the SSF as well as a
demonstrated ability to work with data generated by robotic systems
operating in real world environments. Ideally, you will have a strong
background in classification, data mining, or spatial modeling under
uncertainty, and an interest in the marine environment combined with an
enthusiasm for working with members of the scientific community outside
your immediate area of research.



ACFR LINKAGE FELLOWSHIP

REFERENCE NO. 1973/0710

The ACFR in collaboration with Thales Australia Pty Ltd has secured
funding through the Australian Research Council Linkage program to
develop algorithms and methods required to enable robotic platforms to
perform repeatable, high-resolution surveys of marine environments.
Extending the simultaneous localization and mapping (SLAM) paradigm to
operate reliably in a changing seascape will form the basis for
autonomous long-term monitoring with minimal additional navigation
infrastructure. This capability has the potential to dramatically
improve the accuracy and efficiency of detecting and quantifying changes
in marine environments.

This position requires a PhD in a relevant field as well as a
demonstrated ability to see your research integrated on real robotic
systems.  Ideally, you will have a strong background and experience
working with oceanographic instrumentation, AUVs or other advanced
robotic systems. Experience in software development and precision
navigation and mapping or pattern recognition systems will also be
considered an asset.


Visit www.sydney.edu.au/positions and search by the reference number for
more information and to apply.


CLOSING DATE: 15 September 2010




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