CSIRO - Data61 (View other jobs from this organisation)
http://www.educationcareer.net.au/
CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.
In this position you will undertake research in the CSIRO Data61 Robotics and Autonomous Systems group. As the successful candidate you will develop fundamental and transformative machine learning/artificial intelligence algorithms and workflows for robotics applications. You will focus on the advancement and development of artificial intelligence methods and tools to improve generalisation and transferability and algorithms applied to 3D LiDAR and LiDAR-camera robot’s data. You will also work on addressing challenges facing data uncertainty, sparsity and lack of labelled data.
Location: Brisbane QLD preferred, other locations may be considered.
Salary: AU$86k – AU$94k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 65482
Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
For details about who to contact and for more information please view the Position Description
The successful applicant will be required to obtain and provide a National Police Check or equivalent.
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
We are working hard to recruit diverse people and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. Diversity and Inclusion Strategy
We are committed to the safety and wellbeing of all children and young people.
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.
To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.
Monday 23 November 2020, 11:00 pm AEDT