Raman LiDAR Spectroscopy Techniques for Remote Sensing of Subsurface Water Properties: from numerical modelling to the field

Remote sensing of ocean and coastal waters is of high importance to the defence and environmental science sectors. The overarching goal of this project is to demonstrate a capability to determine subsurface temperature and salinity profiles using a novel Raman spectroscopy LiDAR technique. A combination of numerical (Monte Carlo) modelling, lab-based research, and field trials will be used to validate the system design.

The significant problem addressed by this project is that there is no standard method for systematically measuring, monitoring or mapping the subsurface water temperature and salinity and oceans and coastal waterways. Correspondingly, there is a gap in our knowledge. Successful outcomes from this project will bridge that gap, and could be used for a diverse range of applications: validating hydrologic models, predicting the underwater propagation of sound and light, monitoring and surveillance, understanding waterway health and providing data for environmental restoration projects.

The project will involve active collaboration with DSTG (Defence Science and Technology Group) and other organisations. Some of the numerical simulations will be carried out using the National Supercomputer in Canberra. It is part of a broader Research Project funded by DSTG. The student will be co-supervised by Prof. Helen Pask, Prof. David Spence, and the DSTG Emerging Sensors Discipline Leader. 

The successful candidate will receive a generous stipend of $40,000 per annum with additional funding to support travel and project costs. They will be working as part of a team, and will gain valuable skills that are in high-demand by employers, including the defence sector, such as numerical modelling and simulations, laser-based optical spectroscopy, instrumentation, and the design, building and testing of optical apparatus.  

FOR FURTHER INFORMATION AND GUIDANCE ON HOW TO APPLY

Please Contact Prof. Helen Pask ([Email Address Removed]) or Prof. David Spence ([Email Address Removed]) with your questions, your CV and Academic transcript. We will assess your suitability for the project and provide you with guidance on how to apply.