Do you have a background in hyperspectral imaging? Would you like to work with a team who truly love what they do?
We are offering an outstanding opportunity for a quality-oriented, creative Postdoctoral Fellow in Hyperspectral Imaging to lead the integration of hyperspectral imaging into our large robotic phenotyping platform and drive the implementation of VNIR and SWIR sensor use in other applications, such as a bench-top linear stage through to ground-based and airborne field phenotyping platforms.
The successful candidate will be welcomed into our dynamic, multi-disciplinary team which supports researchers to solve complex problems in plant and agricultural science, both here and around the world, in the race to meet global food demands in the future. We get a kick out of promoting research innovation and collaboration, contributing to Australia’s reputation as a world-leader in innovative agricultural science. Our facility offers state-of-the-art imaging technologies, robotics, sensor networks and data analysis tools in a world-class, national facility. You will work on diverse projects with international collaborations AND enjoy the fantastic South Australian lifestyle.
The Australian Plant Phenomics Facility (APPF) is a national research facility established under the Australian Government’s National Collaborative Research Infrastructure Strategy. The Adelaide node of the APPF, known as The Plant Accelerator®, is located at the University of Adelaide’s Waite Precinct. The custom built facility houses state-of-the-art imaging systems that allow the continuous measurements of the physical attributes (phenotype) of plants automatically and non-destructively.
About the role
In this service delivery role, you will develop and implement acquisition protocols for hyperspectral imaging, data pre-processing and application of models to non-destructively determine chemical components of plants. You will collaborate closely with the dynamic team of The Plant Accelerator®, public and privately funded facility users from Australia and overseas, and our collaborators at the IFF Fraunhofer Institute in Magdeburg, Germany.
Your role will involve applying the patented machine learning methods of our collaborators to develop models for the non-destructive measurement of nutrients and compounds and also developing your own methods. In addition, you will contribute to the organisation and management of project applications for external funding, and be encouraged to co-supervise PhD, masters and honours students.
Work type: Fixed term – Full-time
Categories: University of Adelaide, Faculty of Sciences, Level A, Level B
Closing date for Applications: 18/02/2018