Data Scientist, Australian Plant Phenomics Network

vor 5 Stunden

Sydney, Österreich Centre for Continuing Education Vollzeit

Data Scientist, Australian Plant Phenomics NetworkApply locations: Newtown
Time type: Full time
Posted on: Posted 2 Days Ago
Job requisition id: 0126118
Full time, fixed term role until the 31st of December 2027 based on the Camperdown Campus Exciting opportunity to leverage data analysis knowledge and research experience to inform world class research at the University of Sydney Australian Plant Phenomics Network (APPN) node Base Salary $108,557 + 17% superannuation About the opportunity As the APPN Data Scientist at the Sydney Informatics Hub, you will bring advanced technical expertise and project management skills to support data science initiatives led by the Australian Plant Phenomics Network (APPN) node at the University of Sydney. Your role will involve providing data support to the APPN technicians based at the Narrabri facility while leveraging your expertise in data science, generative AI, machine learning and computer vision to researchers and contribute to APPN involved research projects.
Your key responsibilities will be to: Work in a collaborative and cohesive team environment, reporting to the Data Science Group Lead, APPN.
Provide APPN support services, including designing and deploying reusable data pipelines to process equipment-generated data.
Contribute to research by analysing and modelling high-resolution imagery datasets, such as those from drones or robots.
Develop and maintain software tools and data systems for the phenomics platforms hosted by the APPN USyd node.
Implement advanced deep learning and generative AI techniques, with a focus on agricultural models customized for Australian landscapes.
Provide training to and support diverse user communities working in GIS, Computer Vision, and agriculture.
About you Tertiary qualifications in a related field.
Experience working within a research environment.
Experience in application of data science, statistical modelling, and machine learning technologies to a variety of complex data sets.
Demonstrated experience working in GIS and Computer Vision.
Experience in planning and development of complex data processing software and pipelines, processing data from a variety of sources and destinations, ranging from file systems to enterprise data systems.
Experience in the processing and analysis of remote sensing data collected using drone and satellite-based sensors is highly desirable.
Stakeholder management skills, with the ability to run projects with researchers with minimal supervision.
Sponsorship / work rights for Australia Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.
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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion.
How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Tara Ritchie, Recruitment Operations by email to ******.
Applications Close: Sunday 19 January 2025 11:59 PM
About UsThe University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity.
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