Research Fellow in Hyperspectral Imaging
- Prestigious international university
- Wide range of employee benefits
- Postdoctoral Fellow in Hyperspectral Imaging
The University of Adelaide is one of Australia's leading Group of Eight, research-intensive universities and is consistently ranked among the top 1% of universities in the world. Established in 1874, it is Australia's third oldest university with a strong reputation for preparing educated leaders and delivering research outcomes that contribute to local, national and global wellbeing.
University of Adelaide employees enjoy a range of benefits and favourable work conditions that include opportunities for career development and advancement.
The Faculty of Sciences is one of five faculties at the University of Adelaide. As the first university in Australia to grant degrees in science (1882), science has long been at the cornerstone of the institution and this continues today. As a research and education leader in fields such as agriculture, food & wine, animal & veterinary sciences, biological sciences, and physical sciences, the Faculty offers an exciting and innovative work environment.
The School of Agriculture, Food and Wine is embedded in the Faculty of Sciences. The school is located at the University's Waite campus, the pre-eminent agricultural and wine science research site in the Southern Hemisphere. The School offers academic programs in food and nutrition science, applied biology, agricultural science, viticulture and oenology and plant biotechnology. The School of Agriculture, Food and Wine has world-class expertise and facilities in human nutrition, agricultural and plant sciences, plant breeding, viticulture and oenology and biochemistry. The School is home to a range of research centres and works closely with a number of co-located partners including CSIRO (Agriculture, Land & Food), South Australian Research & Development Institute and Australian Wine Research Institute, as well as the South Australian Health & Medical Research Institute.
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.
We are currently seeking a quality-oriented, conscientious and creative Postdoctoral Fellow in Hyperspectral Imaging to lead the integration of hyperspectral imaging into the facility’s large robotic phenotyping platform and drive the implementation of VNIR and SWIR sensor use in other applications, such as a benchtop linear stage as well as ground-based and airborne field phenotyping platforms.
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.
The Postdoctoral Fellow in Hyperspectral Imaging will apply the patented machine learning methods of our collaborators to develop models for the non-destructive measurement of nutrients and compounds and will develop their own methods. The position will also involve contributing to the organisation and management of project applications for external funding. You will be encouraged to co-supervise PhD, masters and honours students.
You should have:
- A doctorate degree (PhD) in Computer Science, Physics, Mathematics, Applied Sciences or equivalent
- Strong background in applied mathematics or physics
- Specific expertise and relevant scientific publications in one or more of the following fields: image processing; machine learning; remote sensing
- Excellent programming skills in C++ and/or Matlab.
- An interest in plant biology and applications of mathematics for agricultural applications
- The desire to support researchers in a service delivery environment by sharing your expertise and skills to enhance their research
- Demonstrated ability to publish research
- Ability to undertake quality control of large, complex datasets in close collaboration with the plant scientists working on the respective project
- High quality interpersonal and excellent communication skills
- Ability to work as part of a team and with researchers of diverse background
- Ability to manage conflicting demands by multiple collaborators
To be considered for a Level B position, candidates must have a minimum of five years’ work experience as a postdoctoral fellow with a strong publication record or equivalent industry experience and a demonstrated ability to attract their own project grant funding.
Salary: (Level A) $83,307 - $89,425 per annum. (Level B) $94,135 - $111,788 per annum.
The successful applicant will be appointed at an appropriate level depending on qualifications and relevant experience.
An employer superannuation contribution of 17% applies.
Term of Position
This full-time, fixed-term position is available immediately for 2 years, with the possibility of extension depending on funding levels.
Please refer to the selection criteria (Level A / Level B) or alternatively contact Dr Trevor Garnett on +61 8 8313 1134, or email firstname.lastname@example.org
Closing date: 18/02/2018
Your application should:
- be in a single pdf or word document
- include your résumé/Curriculum Vitae
- address the selection criteria
- quote the relevant reference number
- include residency status
- include the names, addresses, email details and contact numbers of three referees.
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The University of Adelaide is an Equal Employment Opportunity employer. Women, Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.