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Technologist developer

Brisbane
beBeeInnovator
Developer
Posted: 11 September
Offer description

Technology Innovator

Transformative technologies have a profound impact on industries and society. Our team of experts researches and develops cutting-edge innovations for the mining, manufacturing, space, and other sectors to improve safety and productivity.

We are known for our pioneering work in photogrammetric systems for rock mass characterisation and slope stability assessment, geophysical logging, and micro-seismic monitoring by the Australian mining industry.

Our sensing technologies are being utilised or trialled in medical, aeronautical, and space industries.

* Design and develop advanced algorithms and sensor fusion system solutions for the mining and aerospace industries.
* Develop novel ideas and sensor system technology advancements.

As part of our team, you will contribute to groundbreaking R&D including algorithm design and sensor fusion system designs, leveraging technologies like computer vision, LiDAR, time-of-flight, radar, accelerometers, and other sensing modalities.

Applications will be assessed across two capability levels, and the successful candidate will be appointed at the level commensurate with their skills and experience.

Requirements
* A PhD (or equivalent qualifications and research experience) in a relevant field such as physics, mathematics, computer science, with experience in computer vision.
* Demonstrated publication history of authorship on scientific papers in peer-reviewed journals and/or reports, grant applications or inventorship on patent applications.
* Several years' experience in prototyping, designing, testing, and documenting algorithms in computer vision applications.

Prior knowledge or proven experience of specific technical skills would also be beneficial:

* Expertise in development and deployment of photogrammetric, computer vision, LiDAR, time-of-flight, radar, accelerometers, photogrammetry systems (software and hardware) in industrial settings.
* Experience with open-source libraries such as OpenCV and Point Cloud Library (PCL), and languages like MATLAB, Python, C++.

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