[robotics-worldwide] [Jobs] Robotics Research Scientist position at CSIRO, Brisbane, Australia
Thomas.Lowe at csiro.au
Thomas.Lowe at csiro.au
Tue Jan 26 16:40:02 PST 2016
Application deadline: Feb 25, 2016, Australian time
A position as Research Scientist in the perception team at CSIRO has become available in Brisbane, Australia, for research and development into 3D mapping algorithms and robotic perception.
Click here to apply: https://jobs.csiro.au/job/Brisbane%2C-QLD-Research-Scientist-Robotic-Perception/294823400/
The Perception team at CSIRO develops systems for perceiving the environment, for use in mapping, navigation and interpretation. We are looking for a researcher and developer to help build on the existing expertise and develop new algorithms for new devices in order to enhance the perceptive ability of autonomous systems. In particular, Simultaneous Location and Mapping (SLAM) algorithms are used to generate maps and locate a sensor within a map, using laser range-finder (lidar) devices. These algorithms require a high level of competence in mathematics, particularly 3D geometry, linear algebra, optimisers and mechanics. We additionally require competence in C++ software engineering and preferably Matlab or Python. Broad skills in 3D visualisation would also be useful.
Future technologies will make more use of video streams, whether that is from colour, depth, or multi or hyper spectral images. As such, expertise in GPU programming, OpenCV or general parallel programming is desired.
Specifically you will:
- Incorporate novel approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.
- Understand and extend existing (SLAM) mapping algorithms and devices.
- Research and develop new algorithms for mapping and localisation, using video/raster data.
- Research and develop new perception algorithms, such as architecture extraction or object detection from point clouds, combining multiple sensors, auto-stitching of point cloud data sets.
- Communicate effectively and respectfully in the interests of good business practice, collaboration and enhancement of CSIRO’s reputation.
To be successful you will need:
- A doctorate and research experience in a relevant discipline area, such as Robotics, GPU Computing, Dynamic Systems, Computer Vision.
- High level of expertise in applied mathematics, such as linear algebra, optimisation or control theory.
- A minimum of two years’ experience in scientific programming using C++.
- Demonstrated experience developing algorithms in the field of 3D geometry, robotics or computer vision.
- The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, and carry out independent individual research, to achieve organisational goals.
The Autonomous Systems Program and CSIRO
The Autonomous Systems Program at CSIRO has over 100 scientists and
researchers, and is a world leader in its field. It develops
foundational and applied research in robotics, computer vision,
distributed sensing and sensor networks, and autonomous systems for a
broad range of domains. It has very well equipped laboratories with
strong engineering support, and a variety of aerial, aquatic, wheeled
and legged robotic research platforms. The two PhD projects will be
conducted with joint supervision of CSIRO and QUT researchers.
The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
is Australia's national science agency and one of the largest and most
diverse research organisations in the world. Research spans five broad
areas: information and communications; manufacturing, materials and
minerals; environment; energy; and food, health and life sciences. CSIRO
provides a highly innovative and dynamic research environment, and is
positioned in the top 1% of global research institutions in 14 of 22
research fields and in the top 0.1% in four research fields.
For more information about CSIRO's Autonomous Systems Program visit: https://wiki.csiro.au/display/ASL/Autonomous+Systems
and for more information about CSIRO visit: http://www.csiro.au
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