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CSIRO Postdoctoral Fellowship in MLAI FSP: Machine Learning for Predicting Outbreaks
  • Python
  • Machine Learning
  • PyTorch
CSIRO
Brisbane QLD
126 days ago
The Opportunity

  • Work with world-leading machine learning/artificial intelligence scientists
  • Help build an AI powered analytics solution using One Health datasets
  • Join the CSIRO MLAI Future Science Platform (MLAI FSP)

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 Machine Learning and Artificial Intelligence Future Science Platform (MLAI FSP). As the successful candidate you will develop fundamental and transformative machine learning/artificial intelligence algorithms and workflows to analyse One Health surveillance spatiotemporal datasets. Your research will focus on developing machine learning algorithms that handle sparsity, noise and uncertainty in diverse spatiotemporal data types.


Your duties will include:
  • Developing generalised methods for automating the analysis of spatiotemporal data to address problems of lack of labelled data, data sparsity, uncertainty and data integrations given the diversity of data types and scales.
  • Implementing these methods efficiently using programming tools such as TensorFlow and PyTorch on high performance computing systems.
  • Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, leading to novel and important scientific outcomes.
  • Recognising and exploiting opportunities for innovation and the generation of new theoretical perspectives, and progressing opportunities for the further development or creation of new lines of research.

Location: Brisbane preferred, other locations considered

Salary: AU$86k - AU$94k plus up to 15.4% superannuation

Tenure: Specified term of up to 3 years

Reference: 67427

To be considered you will need:
  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area such as machine learning, artificial intelligence, computer vision, computer science, statistics, data analytics, digital health, applied mathematics or applied physics.
    Please note: To be eligible for this role you must have no more than 3 years (or part time equivalent) of postdoctoral research experience.
  • A sound history of publication in peer reviewed journals and/or authorship of scientific papers, reports, grant applications or patents.
  • Solid knowledge of machine learning techniques and proven ability to develop and apply such techniques to complex data sets.
  • The ability to work effectively as part of a multi-disciplinary, regionally dispersed research team, plus the motivation and discipline to carry out autonomous research.
  • Knowledge of Python, C++ or equivalent.

For full details about this role please review the Position Description

Eligibility

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


Applicants must be Australian/New Zealand citizens, Australian permanent residents or Australian temporary residents currently residing in Australia and be able to commence in the role by December 2020/January 2021.


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 and Inclusion

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.

About CSIRO

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


Join us and start creating tomorrow today!

How to Apply

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.

Applications Close

26 July 2020, 11:00pm AEST

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