• Apply your hydroclimate modelling expertise to innovative research projects with real world-impact!
• Benefit from flexible working arrangements.
• Join CSIRO, Australia's leading scientific research organisation

The position

CSIRO Land & Water has an outstanding opportunity for an experienced research scientist to join their Water Forecasting team in Melbourne.  The team sits within the Water Resources Management Program and has a strong hydrological forecasting, hydroclimate science and hydrological modelling capability.   In this role you will contribute your expertise in Hydroclimate modelling to undertake innovative research and deliver to high impact external projects on water forecasting, hydrological prediction under change, water resources assessment, and integrated basin modelling. You will contribute to multi-disciplinary projects across CSIRO and its partners, in Australia and overseas. As the successful appointee, you will develop strong science expertise in the above disciplines, and actively contribute to developing at-scale research ideas and business opportunities.

More specifically you will:

• Lead, manage and contribute to projects in the water forecasting discipline (hydrological and statistical modelling, forecast post-processing and evaluation, application of forecasts for water resources management).
• Contribute water forecasting science to projects in water resources assessment and prediction, integrated basin modelling, and at-scale multi-disciplinary projects.
• Sustain strong scientific recognition through publication metrics, leadership in national and global hydrological science forums, and national and international reputation.
• Work closely with industry customers to deliver strong research outcomes, leading to adoption and impact from new practice and/or knowledge.
• Work closely with CSIRO Land and Water leaders to develop research ideas and business opportunities.

Location:           Clayton, Vic
Salary:               $95K - $103K plus up to 15.4% superannuation
Tenure:              Specified term of 3 years
Job reference:  52391

To be successful you will need:

• A PhD qualification plus several years postdoctoral research experience, or equivalent relevant research experience in science or engineering.
• Experience in hydrological science with strong expertise in Bayesian statistical modelling, ensemble forecasting and verification, and/or the application of forecasts for water resources management.
• Scientific programming, data visualisation, and high performance computing experience.
• Demonstrated experience in managing, using and creating large climate and hydrological datasets, and in dealing with data that cover large spatial (such as continental) and temporal (such as decadal) scales.
• Experience in operational water forecasting or in transferring research to operational deployment is would be an advantage, however is not essential.

Before you apply please view the full position details and selection criteria here:  Position description

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!  CSIRO Balance

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 Land & Water is delivering the knowledge and innovation needed to underpin the sustainable management of our land, water, and ecosystem biodiversity assets. Through an integrated systems research approach we provide the information and technologies required by government, industry and the Australian and international communities to protect, restore, and manage natural and built environments.

How to apply:  If you wish to apply for this position, please upload 1 document only containing your resume that best demonstrates your ability to meet the requirements of the role as defined in the position description.

Applications close:  11:59pm AEDT, 28 January 2018.