Postdoctoral Fellow – Data/Machine Learning Analyst, Plant Phenomics
Australia
Full Time
1 week ago
$83,698 - $111,431 AUD
No Sponsorship
Key skills
CloudPythonRAnalyticsCommunication
About this role
Role Overview
- Provide specialist research expertise in proximal sensing and high‑throughput plant phenotyping methods
- Lead 3D imaging, point cloud analysis and simulation studies
- Manage and oversee deployment of UAV and ground‑based phenotyping platforms
- Support the effective operation of APPN at UQ through training, supervision & troubleshooting
- Contribute to high‑quality, impactful research outcomes through methodological innovation
Requirements
- Completion of a PhD in 3D‑based phenotyping analytics or a closely related field
- At least four years’ experience in plant phenomics
- Demonstrated expertise in designing, managing and analysing 3D plant‑based point models and spatial datasets
- Strong capability in mathematical and statistical programming languages such as R and Python
- Strong record of research outputs through publications in peer‑reviewed journals and conference proceedings
- Advanced knowledge of precision agriculture technologies
- Excellent communication skills
- A current Remote Pilot Licence (RePL)
Tech Stack
- Cloud
- Python
Benefits
- 17% Superannuation
- Up to 26 weeks of paid parental leave
- 17.5% annual leave loading
- Flexible working arrangements
- Access to world-class facilities and equipment
- Grant writing support
- Greater research funding opportunities
- Genuine career progression opportunities via the academic promotions process