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Postdoctoral Research Associate in 3D Robotic Vision

Chippendale, Australia
$101,507 - $112,462 + 17% superannuation
Closing date
10 Jun 2024

Job Details

  • Join a world-leading research hub developing intelligent robotic systems for inspection and asset management
  • Develop novel imaging technologies to allow robots to see robustly and efficiently in a broad range of challenging conditions
  • Full time, 3 year fixed term position, Base Salary $101,507 - $112,462 + 17% superannuation

About the opportunity

ARIAM Hub is a collaboration between leading academic researchers and experts from the Australian robotics industry supported by the Australian Research Council to deliver research excellence in robotics for asset management. ARIAM spans 3 renowned Australian universities: The University of Sydney, QUT and ANU. This position will be supervised by Dr Donald Dansereau, head of the Robotic Imaging Lab within the Australian Centre for Robotics (ACFR) at the University of Sydney. The ACFR is one of Australia's leading robotics research groups, and the Robotic Imaging Lab is focused on endowing machines with new ways of seeing the world.

We are expanding our team and have multiple positions opening as part of ARIAM. We are currently seeking an ambitious and talented Postdoctoral Research Associate to undertake fundamental and applied research in novel computer vision approaches to high-fidelity drone-based 3D reconstruction of buildings and infrastructure. As part of the Australian Robotic Inspection and Management Research Hub (ARIAM), this position involves working closely with Hub Industry Partner Trendspek on their precision asset modelling and intelligence technology. As part of the research hub you will have opportunities to travel and collaborate with our partners across Australia.

This robotic vision-focused position will advance the 3D modelling of visually challenging scenes from drone-based imagery. Key challenges include complex appearance due to reflective and transparent surfaces, complex geometries, and dense occlusion from vegetation.

Depending on ability and interest, candidate approaches can include combining representations and visual processing from the graphics and vision communities, including inverse rendering and novel visual and geometric representations, and novel computational imaging devices and algorithms. This project will offer dramatic improvements in sensing robustness and performance, and geometric and textural accuracy in drone-based 3D asset inspection.

In this role you will:

  • Work closely with a team of project academics, engineers, and PhD students,
  • Develop and characterise novel robotic vision representations, algorithms and/or imaging technologies,
  • Contribute to the ARIAM Hub's demonstrator program that will showcase your research and that of other Hub projects, and
  • Contribute as a researcher to project report preparation, presentation at internal workshops, and dissemination at top international conferences and journals as well as via internal workshops and presentations.

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. We are seeking an excellent candidate for a Postdoctoral Research Associate position who has:

  • Skills relevant to robotic imaging in visually challenging conditions, outstanding candidates with skills in robotics including navigation, planning, and active perception are also strongly encouraged to apply,
  • A PhD (or near completion) in a relevant field,
  • Knowledge of computer vision technologies including approaches to visual 3D reconstruction,
  • Knowledge of appearance-based scene representations including light fields and neurally regressed radiance fields would be an asset,
  • A desire to advance 3D reconstruction from drone-based imagery using novel scene representations, visual processing, and computational imaging techniques,
  • Experience with one or more programming languages (C, C++, C#, Python, Matlab),
  • Proven ability to conduct high quality research, evidenced by peer-reviewed publications,
  • An ability to coordinate multiple project objectives to meet established targets and deadlines,
  • Excellent communication and interpersonal skills,
  • Hands-on experience with robotic platforms, ROS, and/or deep learning frameworks (Tensorflow and others), and OpenCV would be an asset, and
  • A history of research excellence evidenced by prizes or awards, relative to experience, would be an asset.

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. Female candidates are strongly encouraged to apply for this position.

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.

Please also include a Google Drive link to a 2 minute selfie video covering the following:

  • Your strongest engineering skills,
  • What do you enjoy most about research, and
  • A description of a project that you're proud of, or plan to be when completed

If you are a current employee of the University or a contingent worker with access to Workday, 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 support filling out this application, please contact Rebecca Astar or Cherie Goodwin, Recruitment Operations, by email to

For specific enquiries about the role, please contact Dr Donald Dansereau by email to

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

Applications Close

Monday 10 June 2024 11:59 PM


The University of Sydney was established in 1850 and is consistently recognised, both locally and internationally, for its outstanding teaching and research excellence. Sydney alumni include Prime Ministers, Governor Generals, Nobel Prize winners and leaders in every field of endeavour.

The University offers a comprehensive range of courses, including a number of disciplines unique in Australia. Teaching is spread across nine different state-of-the art campuses, located across New South Wales.

The University of Sydney’s commitment to excellence in research has resulted in an outstanding record in national competitive funding and underpins an approach to teaching which has won nominations for excellence and resulted in high student satisfaction ratings. The University has 78 research centres and institutes and is home to three ARC Centres of Excellence.

The teaching, research and cultural life of the University is supported by extensive facilities, including the largest library collection in the Southern Hemisphere, the world-class Nicholson Museum of archaeological antiquities, the Macleay Museum of natural history and ethnographic collections and the University Art Gallery. Its outstanding sporting and recreation facilities provide a training centre for students and Olympic athletes.

The University of Sydney is a key member of the Group of Eight Australian major research-intensive universities, and the Worldwide Universities Network.


The University of Sydney has nine official campuses.

1.         Camperdown/Darlington Campus.

2.         Cumberland Campus. Home to the Faculty of Health Sciences (based in Lidcombe).

3.         Mallett Street Campus. Home of the Sydney Nursing School.

4.         Sydney Conservatorium of Music Campus. In Macquarie Street, central Sydney.

5.         Rozelle Campus. Home to Sydney College of the Arts.

6.         Surry Hills Campus. Home to the Faculty of Dentistry.

7.         Camden Campus. Contains facilities connected to the Faculty of Veterinary Science and the Faculty of Agriculture and Environment.

8.         Burren Street Campus. Facilties are currently under development.

9.         Sydney Medical School campuses. These include the School of Rural Health (in Dubbo and Orange), the Royal Prince Alfred Hospital, Concord Hospital, Westmead Hospital, the Children’s Hospital at Westmead, Nepean Hospital, Northern Clinical School, Sydney Adventist Hospital, Broken Hill University Department of Rural Health, and Northern Rivers University Department of Rural Health.


The University of Sydney has 16 faculties.

1. Agriculture and Environment

2. Architecture, Design and Planning

3. Arts and Social Sciences

4. Business (Business School)

5. Dentistry

6. Education and Social Work

7. Engineering and Information Technologies

8. Health Sciences

9. Law (Sydney Law School)

10. Medicine (Sydney Medical School)

11. Nursing and Midwifery

12. Pharmacy

13. Science

14. Sydney College of the Arts

15. Sydney Conservatorium of Music

16. Veterinary Science

Number of Employees

Full-time employees: 7616

For more information, please visit:

Company info
+(61) 2 9351 2222

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