**Full time, 8 month fixed term position. Located in the Rose Street Building (J04) on the Camperdown Campus**
- **Work with world-leading researchers in robotic sensing and perception**
- **Contribute to fundamental research in forest imaging and 3D deep learning**
- **Base Salary Level A Step 6 - 8 $113,400 - $121,054 p.a + 17% superannuation**
**About the opportunity**
We are currently seeking a **Postdoctoral Research Associate**to undertake fundamental and applied research into novel deep learning approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project with SCION in New Zealand bringing together researchers in robotic perception, machine learning, remote sensing and silviculture to transform and upscale forest phenotyping operations.
To learn more about the Australian Centre for Robotics (ACFR), click here.
In this role you will:
- work closely with a team of academics and researchers as part of world-leading research program
- develop new techniques based on 3D sensor perception and deep learning to estimate forest tree structure from high-resolution drone-based LiDAR point clouds and imagery
- contribute to a world-leading large-scale forest phenotyping project
- disseminate your work at top international conferences and journals, and contribute as a researcher to project report preparation and presentation at workshops for project stakeholders.
**About you**
- a PhD (or near completion) in a relevant field
- background/skills in point cloud deep learning and/or 3D deep learning from images
- proven ability to conduct high quality research, evidenced by peer-reviewed publications
- a desire to work as part of a larger multi-disciplinary team in advancing applied research in 3D deep learning and forest science
- programming experience in Python and experience using deep learning tools such as PyTorch, Keras and/or Tensorflow
- ability to meet established project targets and deadlines, and excellent communication and interpersonal skills.
**Sponsorship / work rights for**Australia**
You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment.
**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**
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum 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.
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Click to view the Position Description for this role.
**Applications Close**
Tuesday 07 October 2025 11:59 PM