The Opportunity

• Do you have a PhD in ML/AI, computer science, statistics, data analysis, engineering, applied mathematics or applied physics?
• Join the project team developing new ML/AI solutions for clinical decision support
• A unique opportunity to be part of a growing world-class team in this Sydney-based postdoctoral role

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 Postdoctoral Fellow will join the Health Intelligence team within the CSIRO Health and Biosecurity Business Unit. This project is a joint undertaking with the University of Sydney and The Westmead Local Health District and will be based in the Westmead Newborn Intensive Care Unit (NICU). The Postdoctoral Fellow will work as part of a multidisciplinary team with other researchers from CSIRO and collaborators from Western Sydney Local Health District, Sydney Children’s Hospital Network and University of Sydney.

This is the exciting first collaborative project for a new data science group aiming to reduce mortality and permanent brain damage for survivors of newborn intensive care by develop new machine learning and artificial intelligence solutions for clinical decision support.  Westmead NICU has a unique high resolution intensive care physiological database which has 9 years of continuous data collection for critical care in ill babies both preterm and term newborns babies. The Postdoctoral Fellow candidate will be embedded in a world class newborn intensive care research unit lead by Dr Mark Tracy.  Specifically, extremely preterm babies are at high risk of developing acute life-threatening deterioration with conditions such as septicaemia and cardiopulmonary deterioration AI/ML methods may allow detection of imminent deterioration before the baby is clinically sick and thus allow successful intervention and much improved outcomes.

The Health Intelligence team is part of the Australian eHealth Research Centre (AEHRC), CSIRO’s digital health research unit delivering innovation to the health system. It is the largest eHealth research group in Australia with more than 100 research scientists working with clinicians and industry to identify the clinical and/or health challenges. AEHRC is worldwide and unique in covering the full value chain from basic science through to clinical application and assessing their impacts on Australian and international health systems. The Postdoctoral Fellow will join a growing team contributing towards significant research goals and delivering impact on national and international health policy aligned with the team’s strategies.

Your duties will include:

• Developing, validating and implementing novel and interpretable machine learning algorithms and workflows for applications in healthcare such as improving productivity and efficiency, informing treatment effectiveness, risk stratification and clinical decision support.
• Undertaking a CERC Postdoctoral Fellow learning and development program.
• Carrying out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
• Obtaining ethical and legal approval for use of health data.
• Maintaining confidentiality when accessing personal or sensitive information. This may include personal information relating to an individual’s health or commercially sensitive information of CSIRO and/or research or commercial partners.

Location:  Westmead Health Precinct, Sydney
Salary: AU$88k - AU$96k plus up to 15.4% superannuation
Tenure: Specified term of 3 years
Reference: 70866

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 science, statistics, data analytics, engineering, 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.
• Demonstrated knowledge and skills in applying statistical methods and machine learning approaches for predictive modelling.
• Proficiency with programming languages/packages, such as R and Python, including the ability to programme new analyses, clean and structure data, and develop and validate appropriate models.
• Proven ability to work autonomously and as part of a team to prototype research ideas and develop them into demonstration and/or proof of concept systems.
• 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.

For full details about this role please view the Position Description

Eligibility

To be eligible to for role, you must be an Australian/New Zealand Citizen, Australian Permanent Resident or Australian temporary resident currently residing in Australia.

The successful candidate will be required to meet the requirements of working with the Western Sydney Local Health District and the Sydney Childrens Hospital. This will include obtaining a Working With Children Check (WWCC) and meeting NSW Health vaccination requirements.The successful applicant will also be required to obtain and provide a National Police Check or equivalent.

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

31 August 2021, 11:00pm AEST