Postdoctoral Research Associate in 3D Robotic Vision
The University of Sydney
- Chippendale, NSW
- $101,507-112,462 per year
- Contract
- Full-time
- 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
- 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.
- 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.
- 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
NEW SOUTH WALES
2006
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