CSIRO - Data61 (View other jobs from this organisation)
http://federal.governmentcareer.com.au/
The Position:
We are seeking to appoint a highly motivated Research Scientist to undertake computer vision research. The successful candidate will contribute to multiple projects undertaken by the CSIRO and in collaboration with other academic and commercial partners. These projects will include the development and deployment of novel algorithms and tools in 3D scene and objects modelling, as well as semantic scene understanding. The successful candidate will join the high-performing Imaging and Computer vision Group at the CSIRO’s Data61, joining 600 other data science scientists building innovative solutions for Australia.
To be successful in this role you will be enthusiastic about making a hands-on contribution to solving the research challenges found in multiple projects involving bionic vision, autonomous vehicle, or object detection using advanced machine learning methodology, especially deep learning
Your duties will include:
Location: Black Mountain, ACT
Salary: AU $111K to AU $130K plus up to 15.4% superannuation
Tenure: Indefinite
Ref no: 58471
To be considered you will have:
To see all the criteria required for success in this role, click on the ‘Position Details’ link below. Apply today! Position Details
CSIRO’s Commitment to Diversity
We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish.
Flexible Working Arrangements
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. Balance
About CSIRO
At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment.
Apply Online
To apply online, please provide a CV and cover letter that outlines how your experience meets the selection criteria for this position.
Applications Close
Monday 28 January, 2019