The Australian Centre for Visual Technologies,
School of Computer Science, University of Adelaide, Australia
The Australian Centre for Visual Technologies (ACVT) is currently seeking to fill up to 5 posts in computer vision, SLAM and machine learning. The Centre is one of the largest computer vision and image analysis research groups in Australia. Based in Adelaide, we currently number over 40 members including academics, research staff and students. We work on a mixture of fundamental and commercially oriented research projects in computer vision and machine learning, and we have a very strong track record of publications in the top venues.
Senior Postdoctoral Research Leader – up to 5 years appointment
We are seeking a highly motivated senior researcher to help lead a team of several researchers and PhD students investigating large-scale online learning for semantic SLAM and scene understanding. The successful candidate will have a doctorate in machine learning, computer vision and robotics, with a strong track record of publications, ideally across all fields. He/she will have at least two years of research experience in addition to doctoral study (or equivalent experience) and preferably some experience of student supervision. He/she must be a strong team player, and be able to work with the lead investigator (Prof. Ian Reid) to set research directions and objectives for the team. The position will be remunerated at Level C (equivalent of Senior Lecturer) for up to 5 years.
The Level C pay scale is currently A$102,429 – A$118,113 plus benefits including generous employer’s superannuation contributions.
Postdoctoral Research Fellowships
The group is seeking to appoint up to 4 postdoctoral researchers to contribute to a range of projects including visual SLAM, large-scale object recognition, visual scene understanding, robust statistical methods, scene reconstruction and visual tracking. Each successful candidate will have a PhD in Computer Science, Mathematics, Engineering or other related discipline, and will have a strong publication record, commensurate with opportunity and experience. We expect to appoint individuals with a complementary range of expertise, covering computer vision, machine learning, robotics and statistical and numerical methods.
The positions will be at Level A or Level B with a salary range from A$74,001—A$99,300 plus benefits including generous employer’s superannuation contributions.
Research Software Engineer
We are seeking a highly motivated researcher/software engineer to help lead a coordinated approach to computer vision, visual SLAM and robotic vision software and hardware systems. The successful candidate will work with a team of several researchers and PhD students helping develop and maintain robust, high-quality software and hardware/software systems. Publishing is not essential but will be encouraged. 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 and maintain of software, sensing and/or robotic systems, and good working knowledge of the research landscape in computer vision, machine learning and robotics. A PhD is desirable but experience in a research intensive environment is essential. He/she must be a strong team player, and be able to work with the lead investigator (Prof. Ian Reid) to coordinate systems development across the team.
The position will be remunerated at Level A or Level B depending on skills and experience. The pay scale for these levels is currently A$58,534 — A$99,300.
Please ensure that applications, together with a full CV (including a publication list and statement of research expertise and interests) and the names of two referees, are received by 5pm Australian Central Standard Time (UTC+9.30) Fri 30th August, 2013. Please indicate which of the posts is of greatest interest.
Technical queries can be directed to Prof Reid, email@example.com
Please email applications, and any administrative queries to:
Ms. Pru Carter
Post: School of Computer Science,
University of Adelaide,
South Australia 5005,