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Role purpose: This position will have responsibility for developing, optimising and operationalising a contemporary automated water resources models and analytics tools, for hydraulic, hydrologic and water management applications.The role will also incorporate data-driven modelling approaches, leveraging advanced analytics, machine learning, and statistical methods to complement traditional modelling, enhance predictive accuracy, and strengthen decision-support.
Job Responsibility
Ensure all activities are undertaken with the safety of our people as the number one priority and always role model safe behaviour
Collaborate with water resource engineers/specialists to ensure access to quality-assured data, modelling tools and automated systems. Develop, test,integrate, and deploy systems for database interactions and data inputs
Design, develop and implement contemporary hydroinformatics components, tools and products to enhance water science capability. Leverage GIS for hydroinformatics applications, integrating spatial data with hydraulic, hydrologic and water quality models to support advanced analysis
Update, optimise and maintain the exisinting models, system components, tools and products to support a wide range of applications
Requirements
professional programming skills using agile languages, including Python, R and/or MATLAB
in system languages, including C++ and FORTRAN
Extensive knowledge of scientifically robust statistics in a water resources management context
Extensive knowledge of contemporary software development, maintenance and management practices in scientific modelling environment
Knowledge of water resources management challenges and use of modelling applications to inform decision making
Demonstrated experience in ArcGIS/QGIS and handling of vector and raster data for scientific applications
Experience applying data-driven modelling approaches (such as machine learning or statistical techniques) to enhance hydrological analysis and forecasting