The Hydrology Science Section of the Bureau’s Research Program is seeking an outstanding scientist to conduct hydrological forecasting research to improve our understanding of climate variability, hydrological extremes and water resource assessment. In particular, the role will focus on short term, seasonal, to longer range forecasts and outlooks, both with catchment and land surface models and you will be a member of a team that contributes to research with a key focus on ensuring Australians are able to respond to current and future natural hazards and associated disasters, as part of improving national Climate and Disaster Resilience. You will conduct research, both independently and under guidance, and be expected to analyse extremely large data sets based on output from earth system models, land surface models, and catchment models, using a variety of sophisticated statistical and physical techniques including state-of-the-art forecast postprocessing methods.
You will need to have:
- An excellent understanding of hydrological forecast science both from catchment and land surface models. This includes knowledge of operational rainfall runoff and land surface forecast workflows as well as novel techniques for error postprocessing such as Bayesian Joint Probability. A wide knowledge of forecast verification techniques including gridded and point based metrics is advantageous. Additionally, experience in seamless forecasting from short term to multiyear is desirable.
- Flexibility to work effectively and productively as a member of a team under the direction of your team leader, and an ability to plan and undertake research independently and to publish research results.
- Outstanding communication skills, including the ability to write science papers, work plans, present work orally, and translate science outcomes in ways which can be understood by non-expert audiences, in particular stakeholder engagement and multi-disciplinary experience is desirable.
- Excellent analytical and scientific programming skills, including extensive experience with LINUX (preferably in a high-performance computing environment), and with scientific and visualisation languages including Python.
The role will involve close collaboration with scientific and technical staff across the Research Program, and with other Bureau employees and external stakeholders. Experience in liaising effectively with external stakeholders is an advantage.
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