Post Doctoral Research Fellowship In Visual Mapping Adelaide

The Australian Centre for Visual Technologies (ACVT) is seeking an individual to work on an exciting project in conjunction with industrial partner Maptek Pty Ltd to develop next generation systems for real-time mapping of mines. The post is for immediate appointment and for up to three years in duration. The successful applicant will work with the University of Adelaide investigators, Prof Ian Reid and Dr T-J Chin and the industrial partners to develop robust, high-quality software and hardware/software systems for SLAM and sensor fusion systems using visual, laser and inertial sensing.

The ACVT is the largest computer vision and image analysis research group in Australia. Based in Adelaide, it currently number over 50 members including academics, research staff and students. The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine learning, and has a very robust track record of publications in the top venues, and of successful technology transfer.

Maptek Pty Ltd, based in Adelaide, is one of the world?s leading developers and suppliers of mapping software and hardware to the mining industry. Current products include: Vulcan, the world?s premier 3D mining software solution, with which users can validate and transform raw mining data into dynamic 3D models, accurate mine designs and operating plans; and I-Site, Maptek?s bespoke laser scanning and integrated software package for mine site surveys.

Company:

Australian Centre for Visual Technologies

Qualifications:

The successful candidate will enjoy a ?hands-on? approach to experimentation and ?making stuff really work?. He/she will therefore have a track record in development of software, sensing and/or robotic systems, and good working knowledge of the research landscape in computer vision and robotics, especially SLAM and visual mapping. A PhD or equivalent industrial experience in a research setting is essential. He/she must be a robust team player, and be able to communicate and work with the investigators and industrial partners to coordinate systems development across the team.

Educational level:

Ph. D.

Tagged as: Academia , Australia , Data Mining , Machine Learning , NER , Ph. D.

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