- Are you experienced in robotics and autonomous systems?
- Join CSIRO's Data61 - Australia's largest data innovation group
- Work with a highly skilled team to research & develop new perception algorithms
Do you want to work for one of the world's leading research organisations, live in a city with extremely high standard of living, enjoy pristine beaches and sun all year round, and still carry out ground breaking research? If so, please read on.
The role of Research Scientist Staff in CSIRO is to conduct innovative research leading to scientific achievements that are aligned with CSIRO's strategies. You may be engaged in scientific activity ranging from fundamental research to the investigation of specific industry or community problems. You will have the opportunity to build and maintain networks, play a lead role in securing project funds, provide scientific leadership and pursue new ideas and approaches that create new concepts.
The Robotics and Autonomous Systems Group at CSIRO develops systems for perceiving the environment, for use in mapping, navigation and interpretation. We are looking for researchers and engineers to help build on the existing expertise and develop new algorithms for new devices in order to enhance the perceptive ability of autonomous systems and mobile robots.
This role will build and maintain networks, play a lead role in securing project funds, provide scientific leadership and pursue new ideas and approaches that create new concepts. As a Research Scientist, you will work with Simultaneous Location and Mapping (SLAM) algorithms that used to generate maps and locate a sensor within a map, using laser range-finders (lidar) or camera devices. This role requires a high level of competence in mathematics, particularly 3D geometry, linear algebra, optimisers and mechanics. 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 will be used.
Location: Pullenvale, QLD
Salary: AU $95K - AU $103K plus up to 15.4% superannuation
To be successful in this position you will need:
- A doctorate and/or equivalent research experience in a relevant discipline area, such as Gaussian processes, probabilistic / variational inference.
- Thorough experience with the development and innovation of SLAM algorithms.
- High level of expertise in applied mathematics, such as linear algebra, optimisation, and 3D geometry.
- A minimum of 3 years’ experience in scientific programming using C++.
- Demonstrated knowledge and development experience with robotic perception algorithms, and their interaction with planning and control in robotics
- Be comfortable working with mobile field robotics in outdoor environments.
- Show experience with systems integration, having worked “hands-on” with mobile robotic platforms beyond simulation environments.
- 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.
- A record of science innovation and creativity plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
Before applying, we encourage you to read the full position description for this role. This document can be viewed at:
Position details document
Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)
At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today - for our customers, all Australians and the world. We imagine. We collaborate. We innovate.
We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Find out more! CSIRO Balance
How to Apply: Please upload one document only containing both your CV/Resume and cover letter, ensuring that you have provided enough information relevant to this position to enable the selection panel to determine your suitability. If your application proceeds to the next stage you may be asked to provide additional information.
Applications Close: Applications will close 10:59pm AEST on Friday 15th June 2018.