• Develop innovative machine learning methods (deep learning) for the analysis of images.
• Work with internationally recognised scientists in world class facilities
• Join CSIRO’s Data61, the largest data innovation group in Australia 

The Position

Develop innovative machine learning methods (deep learning) for the analysis of images. There are several projects available including medical image analysis, 3D object detections, and human pose estimation. Aspects involving spatio-temporal modelling and tracking are of high importance for our research. You will join the high-performing Imaging and Computer vision Group (40+ staff and students), joining 600 other data scientists building innovative solutions for Australia from CSIRO Data61. You will be able to harness your creativity with a strong focus on entrepreneurship. This position has no teaching duties but offers the opportunity to build and maintain strong relationships with leading Universities.  

• Develop innovative concepts, theories, tools and techniques related to the analysis of video and still images.
• Harness the growing volume of publicly available data sources, as well as work on establishing proprietary datasets in collaboration with our partners.
• Liaise with clients to determine their needs and take personal responsibility for client satisfaction. 
• Under limited direction, assist in the planning and preparation of research proposals and carry out research investigations, requiring originality, creativity and innovation. 

Location:  Canberra, ACT or Sydney, NSW
Salary: * CSOF5 AU$98k – AU$106k plus up to 15.4% superannuation * CSOF6 AU$113K - AU$132K plus up to 15.4% superannuation
Tenure: Indefinite
Reference: 65861

*NB: This position is offered across two levels, the appointment level will be determined by the qualifications, skills and relevant experience of the successful candidate

Under CSIRO policy only those who meet all essential selection criteria can be appointed.

• A PhD in a relevant discipline area, such as computer vision or medical image analysis, with at least 3 years of experience since obtention of PhD.
• Demonstrated experience in 3D computer vision such as 
  • reconstruction, visual localisation and mapping,
  • human pose detection and analysis, 
  • semantic vision with reasoning about the 3D world, and
  • understanding visual scenes over time, or advanced deep learning methodology applied to medical image analysis.
• Strong experience with scientific computing platform and programming languages such as Python, Matlab, C++, PyTorch, Tensorflow.
• High level written and oral communication skills with the ability to represent the research team effectively internally and externally, including the presentation of research outcomes at national and international conferences.
• A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
• A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations.

For an appointment at the higher (CSOF6) salary level, as well as satisfying the Essential Criteria listed above, you must also have:

• At least 6 years experience since PhD graduation. 
• Track record of successful competitive or commercial funding. 
• Track record of scientific publications and research community engagement.

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, Australia's national science agency, we solve the greatest challenges through innovative science and technology.

Join us and start creating tomorrow today!

Please apply on-line and provide a cover letter and CV that best demonstrate your motivation and ability to meet the requirements of this role.

Sunday, 12th April 2020 at 11:59PM AEST