Full time, 3 year’s fixed term position. Located at the Biomedical Building on the Eveleigh Campus
Opportunity to contribute and develop your expertise in remote sensing working on industry-focused projects in precision agriculture
Base Salary Level A, $101,507 - $112,462 p.a. + 17% superannuation
About the opportunity
The Faculty of Science are welcoming applications for a Postdoctoral Research Associate (Agricultural Remote Sensing) to join the team and to work on SmartSat CRC and Grains Research & Development Corporation (GRDC) funded projects in Precision Agriculture in dryland cropping systems.
The position is located with the Precision Agriculture Laboratory and will work with an innovative team led by Prof. Thomas Bishop and Dr. Patrick Filippi. The projects are in partnership with a commercial collaborator with the aim to use machine learning/AI approaches in combination with commercial multispectral and hyperspectral remote sensing platforms to perform within-field mapping of weeds and disease in grain cropping systems.
The successful candidate will provide the opportunity to be part of a successful team building advanced, commercially useful data analysis algorithms and PA management tools while also fostering strong working relationships with a national network of stakeholders including growers, researchers, and commercial advisors.
Your key responsibilities will be to:
liaise with project partners and stakeholders
develop and implement novel approaches for mapping weeds and disease using remote sensing
publish research in peer reviewed publications
manage the project to ensure the delivery of project milestones.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate (Agricultural Remote Sensing) who has:
a PhD (or near completion) in remote sensing, precision agriculture, computer science or other quantitative disciplines
expertise in data-centric languages such as R and/or Python with a focus on machine learning/AI and/or statistical modelling
expertise in analysis of spatial data including remote sensing
a track record of publications in peer-reviewed journals
experience in managing projects involving multiple people and/or organisations.
To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.
Pre-employment checks
Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
EEO statement
At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.
How to apply
Please address the selection criteria in your application (including a cover letter, CV, and any additional supporting documentation) which can be submitted via the Apply button at the top of the page.
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For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Kevin Lim, Recruitment Operations by email to [email protected].
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