• Join our team at the Australian e-Health Research Centre
• Contribute your knowledge of statistical modelling/inference, machine learning, & operations research
• Be part of the solution at CSIRO - Australian Science, Australia’s future

The position:

CSIRO Postdoctoral Fellowships help facilitate the recruitment and development of our potential leaders.  They provide valuable opportunities for scientists and engineers to launch their careers, extend professional networks and enhance their career prospects.

As a Postdoctoral Fellow with CSIRO Health and Biosecurity, you will join our team at the Australian e-Health Research Centre (AEHRC).  The AEHRC delivers solutions to improve patient flow through Australia’s healthcare system. In this key role, you will support the development of novel software-based tools that model, analyse and provide insight and solutions to identified challenges in Australia’s hospitals and healthcare system, with a view to improving health service delivery.

Contributing to collaborative projects between the e-Health Research Program and other health partners, you will advance the science behind mathematical and algorithmic techniques for managing hospital patient flow processes and resources.  You will produce high impact publications describing the contributions to knowledge made and help improve evidence driven patient flow management in Australia’s healthcare system. We also anticipate the identification of potential commercialisation opportunities stemming from your postdoctoral research project.

Specifically you will:

• Develop new and apply existing algorithms, concepts, theories, tools and techniques in the area of modelling, prediction, scheduling and efficient use of health resources.
• Obtain ethical and legislative approval for use of health data.
• Evaluate the effectiveness of ICT solutions through qualitative and quantitative analysis.
• Undertake regular reviews of relevant literature and patents.
• Publish scientific results in leading clinical and technical journals and for conference presentations.
• Help build CSIRO’s research reputation for integrated and multi-disciplinary science related to health statistics and health system performance engineering.

Location:      Herston (Brisbane) Queensland
Salary:          AU $83 to AU $91k per annum, plus up to 15.4% superannuation
Tenure:         3 year term
Job ref:         57469

As a minimum requirement, you will hold a doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Statistics, Operations Research, Engineering, Computer Science or equivalent field. You will also have:

• High level communication skills and a history of professional behaviours.
• A record of publications in quality, peer reviewed journals.
• Knowledge and skills in statistical modelling and/or inference, machine learning, and operations research.
• Good problem solving and organisational skills.
• The 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.
• A record of science innovation and creativity.

To see all the criteria required for success in this role, click on the ‘Position Details’ link below. Apply today!

Position Details

To be eligible for this postdoctoral fellowship, you must have less than 3 years of relevant research experience since gaining your PhD.

About CSIRO

We imagine. We collaborate. We innovate. At CSIRO, we do the extraordinary every day. We innovate for tomorrow and help improve today – for our customers, all Australians and the world. We do this by using science and technology to solve real issues. Diversity is the compass that navigates our innovation. We provide an inclusive workplace that respects, values and actively pursues the benefits of a diverse workforce - CSIRO

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.  Find out more Balance

How to apply: Please load one document containing your CV and a brief cover letter which outlines your interest in the role and your motivations for applying (Maximum 2MB). At the end of the online application process, you will also be required to respond to some screening questions. 

Applications close: Wednesday 18 July, 2018 (11:59pm AEST)

We reserve the right to withdraw this ad prior to the closing date.