Acknowledgement of Country

CSIRO acknowledges the Traditional Owners of the land, sea and waters, of the area that we live and work on across Australia. We acknowledge their continuing connection to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation

The Opportunity

• Do you have a PhD in Natural Language Processing, Information Retrieval, Machine Learning, or similar?
• Contribute to the high-performing Health Data & Machine Learning Team
• Join CSIRO – Australia’s leading scientific research organisation!

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.

The successful candidate will contribute to projects in collaboration with healthcare stakeholders and academic partners. These projects will include the solving of research challenges associated with Natural Language Process, Information Retrieval and Machine Learning on Health Data, particular free-text data. The position will focus both on research and the development and deployment of related applications to support our research.

Your duties will include:

• Designing, developing, and implementing natural language processing, machine learning and information retrieval techniques in the health domain.
• Investigating, evaluating, and improving the above techniques for Precision Medicine – this is, medical care designed to target treatment for particular groups of patients, especially by using their genetics.
• Designing and implementing practical software solutions to support clinical text analytics, clinical information retrieval, evidence-based healthcare, and improved patient outcomes.
• Evaluating and performing statistical validation of developed methods.  

Location: Brisbane, QLD

Salary: AU$89k - AU$98k plus up to 15.4% superannuation

Tenure: Specified term of 3 years

Reference: 88742

To be considered you will need:

• A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Natural Language Processing, Information Retrieval, Machine Learning, or similar. Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of postdoctoral research experience.
• Demonstrated knowledge in machine/deep learning, with experience on dealing with textual data.
• Demonstrated expert knowledge and experience in relevant empirical research methods, including text classification, information extraction, search ranking and retrieval, knowledge graph creation. Research experience with biomedical NLP or IR will be beneficial and highly regarded.
• Demonstrated practical experience with machine learning libraries (e.g., scikit-learn), deep learning frameworks (e.g., TensorFlow or PyTorch) and/or NLP libraries and IR libraries.
• Demonstrated technical ability in software development and programming skills. 

For full details about this role please view the Position Description

Eligibility

Appointment to this role is subject to provision of a national police check and may be subject to other security/medical/character requirements.

Flexible Working Arrangements

We work flexibly at CSIRO, offering a range of options for how, when and where you work. 

Diversity and Inclusion

We are working hard to recruit people representing the diversity across our society, and ensure that all our people feel supported to do their best work and feel empowered to let their ideas flourish. 

About CSIRO

At CSIRO Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we only deal in facts. We collaborate widely and generously and deliver solutions with real impact. 

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

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