Postdoctoral Fellowship Machine Learning & Artificial Intelligence: Constraints (2 Positions)

You are here

Top Reasons to Join SPS Today!

1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.

Postdoctoral Fellowship Machine Learning & Artificial Intelligence: Constraints (2 Positions)

Organization: 
CSIRO
Country of Position: 
Australia
Subject Area: 
Machine Learning for Signal Processing
Expiration Date: 
08 March 2020
Position Description: 

64888 - CSIRO Postdoctoral Fellowship in Machine Learning and Artificial Intelligence: Constraints. (2 Positions)

  • Do you have experience in Machine Learning and Artificial Intelligence?
  • Work with world class researchers to solve the world’s biggest challenges
  • Join CSIRO’s Data61, the largest data innovation group in Australia

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation.

 

The Machine Learning and Artificial Intelligence Future Science Platform (MLAI FSP) will build an exciting new research portfolio to leverage CSIRO’s deep domain expertise and experience. As a member of the Platform team, you will work with top CSIRO scientists and engineers to develop new machine learning and artificial intelligence methods with a specific emphasis on solving significant science questions. Together we will build the next generation of science tools using high performance computing infrastructure and cloud technologies to underpin the next generation of Australian science.

 

You will sit within the Constraints activity area within the MLAI FSP, which investigates MLAI models with design constraints, for example scalability, uncertainty propagation and privacy. The role has two main potential implementations which are not necessarily exclusive: design of new ML algorithms that are privacy compliant, and analysis of the privacy leakage of ML algorithms. 

 

Your duties will include:

  • Investigate, design and evaluate formally new ML algorithms for secure learning and/or the potential leakage of the state of the art with fixes. 
  • Implement these methods efficiently using programing tools such as R or Python. 
  • Carrying out evaluation of the developed software to demonstrate its competitiveness and fitness for purpose. Taking responsibility for functionality, performance and robustness.
  • Carry out high impact research of strategic importance to CSIRO, with the aim of achieving innovative and wide-reaching scientific outcomes and ideas for further research.

Location:      Eveleigh, Sydney 

Salary:          AU$83k - AU$94k plus up to 15.4% superannuation  

Tenure:         Specified term of 3 years 

Reference:    64888

To be considered you will need:

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

  1. A doctorate (or will shortly satisfy the requirements of a PhD) in a Platform-relevant discipline area, such as machine learning, artificial intelligence, computer science, statistics, privacy/crypto or applied mathematics.
    1. Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
  2. Solid fundamental and applied knowledge of machine learning and statistics or privacy
  3. Demonstrated ability to understand and develop mathematically-founded machine learning algorithms and their development in toolkits. 
  4. High level computational and programming skills (in Python, R, or C++) to build machine learning models and conduct analyses. 
  5. High level written and oral communication skills with the ability to effectively represent the research team internally and externally, including publishing in peer reviewed journals and/or authorship of scientific papers, reports, and presenting at national and/or international conferences.
  6. A record of science innovation and creativity, including the ability & willingness to incorporate novel ideas and approaches into scientific investigations, preferably across diverse and inclusive teams.

The successful applicant may be required to obtain and provide a National Police Check or equivalent.

 

For more information about this role please view the Position Description

 

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

 

Diversity

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

 

About CSIRO

At CSIRO we solve the greatest challenges through innovative science and technology.  We pride ourselves on hiring the best talent – bold change-makers, imaginative problem solvers and people driven by impact, whose creativity and skills match their enthusiasm for science and innovation.

 

Join us and start creating tomorrow today!

 

Apply Online

To apply online, please provide a CV or resume and cover letter outlining your suitability and motivation for the role.

 

Applications Close

Sunday, 8th March 2020 at 11.59pm AEST

SPS Social Media

IEEE SPS Educational Resources

IEEE SPS Resource Center

IEEE SPS YouTube Channel