• Full time and 3 year fixed term appointment with an immediate start 
• Salary range: Level A $72,780 p.a. - $97,946 p.a. plus superannuation

You will work closely with researchers from the UWA School of Agriculture and Environment, the School of Biological Sciences and the Oceans Institute. This position will be embedded with the work done by research fellows and PhD students at the School of Biological Sciences and at the Oceans Institute, and in association with partners at the Indian Ocean Marine Research Centre (IOMRC) and The Australian Institute of Marine Science (AIMS), to integrate current and innovative research on the use of models to assist our understanding of the marine environment, and the coordination and participation in research expeditions to remote locations.

About the opportunity

You will join a collaborative team of researchers focused on understanding the drivers of habitat distribution and ecosystem ecology at Shark Bay and other WA coastal sites as part of the Integrated Coastal Analyses and Sensor Technology (ICoAST) project.

You will work closely with the Spatial Ecology Theme Leader but will also work on areas of overlap with researchers in the Oceanography/Hydrodynamics theme and the Molecular Ecology theme, providing habitat data and analytical context.

To be considered for this role, you will demonstrate:

• PhD in Spatial Ecology, Marine Science or related discipline
• A commitment to excellence in research via high quality and high impact scholarly research and communication
• Experience using GIS and remote sensing in the design, planning and interpretation of environmental studies, with particular application to spatial ecology, and experience in satellite remote sensing
• Ability to undertake complex analyses and modelling of spatial environmental datasets using programming languages such as Python and R, and to present results in a reproducible and accessible manner
• Experience in conducting large scale data analysis, using geoprocessing workflows both in a desktop and cloud computing environment, such as utilising Python programming language to do so, with particular emphasis on satellite derived data products to model underlying drivers of environmental and biodiversity outcomes
• Experience in coordinating and undertaking research expeditions (including in remote locations) to collect benthic ecological data, or marine and coastal habitat data (spatial, physiology, ecological)

 In preparing your application you are asked to submit curriculum vitae and a document clearly addressing the selection criteria to demonstrate that you meet the criteria. 

Please see the position description prior to applying: PD - Research Associate - Coastal Remote Sensing & GIS.pdf

Application Details: Please apply online via UWA Jobs website