Postdoctoral Fellow in Plant Biosecurity: The ARC Training Centre in Plant Biosecurity is offering multiple postdoctoral research fellow positions aimed at addressing critical research areas concerning plant pests and diseases that pose threats to both the economy and environment. Successful candidates will join a collaborative team across several fields, including social science, remote sensing, statistics, and molecular diagnostics, while benefiting from comprehensive mentorship and professional development opportunities.
Postdoctoral Research Fellow Positions in Plant Biosecurity
Designation:
Postdoctoral Research Fellow (Multiple Positions)
| Position Title | Location | Last Date to Apply |
|---|---|---|
| Postdoctoral Research Fellow: Remote Sensing and Deep Learning Models | James Cook University, Townsville, QLD | December 1, 2024 |
| Postdoctoral Research Fellow: Science Communication / Misinformation | The Australian National University, Canberra | November 29, 2024 |
| Postdoctoral Research Fellow: Quantitative Methods in Biosecurity | The Australian National University, Canberra | November 24, 2024 |
| Postdoctoral Research Fellow: Molecular Diagnostics (Opening Soon) | University of Canberra | To Be Announced |
Research Area:
- Plant Biosecurity
- Remote Sensing and Deep Learning
- Science Communication and Misinformation
- Quantitative Methods in Biosecurity
- Molecular Diagnostics (Coming Soon)
Location:
- James Cook University, Townsville, QLD (Remote Sensing and Deep Learning Models)
- The Australian National University, Canberra (Science Communication / Misinformation & Quantitative Methods in Biosecurity)
- University of Canberra (Molecular Diagnostics)
Eligibility/Qualification:
- Remote Sensing and Deep Learning Models: Early career researcher with experience in deep learning and remote sensing.
- Science Communication / Misinformation: Experience in science communication or misinformation studies, or equivalent qualifications/experience.
- Quantitative Methods in Biosecurity: Background in quantitative biosecurity, ecology, biometry, or statistics; must be an Australian citizen.
- Molecular Diagnostics: Details will be provided upon advertisement.
Job Description:
- Remote Sensing and Deep Learning Models: Develop deep learning models for detecting sugarcane weeds; collaborate with industry partners; co-supervise PhD students; design training materials.
- Science Communication / Misinformation: Conduct independent research on misinformation in plant biosecurity; support PhD student supervision; deliver training and mentorship; or collaborate with training centre partners.
- Quantitative Methods in Biosecurity: Research on quantitative methods in biosecurity; contribute to reports for the Commonwealth Department; support PhD supervision and mentorship.
How to Apply:
Interested candidates can find more information and apply through the respective university websites linked in the job details. Each position includes a link to download the full position description and contact details for inquiries.
Last Date to Apply:
- Postdoctoral Research Fellow: Remote Sensing and Deep Learning Models: December 1, 2024
- Postdoctoral Research Fellow: Science Communication / Misinformation: November 29, 2024
- Postdoctoral Research Fellow: Quantitative Methods in Biosecurity: November 24, 2024
- Postdoctoral Research Fellow: Molecular Diagnostics: To Be Announced
For any questions related to the positions, please contact Sarah Adams, Chief Operating Officer, at plantbiosecurity@anu.edu.au for general inquiries about the Training Centre.
