PamiTC Job Board - Posting Details

Title: Four (4) Research Fellow positions at ANU Posted: May 18, 2014
Company/Institution: Australian National University
Location: Canberra, Australia
Department: College of Engineering and Computer Science

Description:

Four 3.5-year Research Fellow positions at the ANU (Australian National University) in the areas of computer vision, robotics, or machine learning

The ANU College of Engineering and Computer Science, is seeking to appoint four (4) Research Fellows with strong track record in the areas of Computer Vision, and/or Robotics, and/or Machine Learning.

The successful applicants are expected to contribute to a newly-launched 7-year major research program of the ARC Centre of Excellence in Robotic Vision (ACRV). The ACRV is a recently awarded multi-institutional major research grant, funded by the ARC (Australia Research Council). The Centre is aimed to develop the underlying science and technologies that will enable robots to see, to understand their environment using the sense of vision, to perform useful tasks in the complex, unstructured and dynamically changing environments in which we live and work.

There are four partner Australian universities with the ACRV Centre, which are Queensland University of Technology, University of Adelaide, the Australian National University (ANU), and Monash University, in addition to five international participating universities: Oxford University, Imperial College London, INRIA, ETH Zurich and Georgia-Tech.

The four (4) Research Fellow positions at the ANU are available on a full-time fixed-term capacity at Academic Level-B for a period of 3.5 years. These positions offer great career prospects at a top class University along with excellent working conditions such as generous remuneration benefits. Total salary package for the positions will start at about $100,000AUD per annum (which includes a basis salary starting at Academic Level-B, plus 17% superannuation contribution, or 1.17x(86,286-98,269)). For those unfamiliar with Australia academic ranking system, a fresh new PhD graduate would start at Level-A (postdoctoral fellow), followed by Level-B (research fellow), up to Level-E (professor). Expected starting date for these four positions is in the second half of 2014, or as soon as possible.

The successful applicants are expected to align his/her own research topics with, but not limit to, one (or more) of four main research directions (of the ANU node), i.e. (a) Vision and Action (b) Robust 3D vision (c) Semantic Vision and (d) Optimization and Geometry, as detailed in the Selection Criteria (see: http://jobs.anu.edu.au/PositionDetail.aspx?p=3931).

To be considered for this position, applicants must address all questions in the Selection Criteria, accompanied by a CV, and a list of at least two referees.

Upon success, you will be part of a high performance University that offers great employment benefits and brings foresight to the research and education. You will be a staff member of the Computer Vision and Robotics research group, working with other ANU chief investigators (currently, they are Prof Rob Mahony, Prof Richard Hartley, Dr Stephen Gould, and Dr Hongdong Li), researchers and collaborators of the Centre. The ANU is a leading research university in Australia, and is a member of the Group-of-Eight, and a member of the IARU Alliance. The ANU has one of the finest campuses in Australia, located in the beautiful bush Capital, city of Canberra.


Application Instructions:

To apply, you must proceed via ANU official job site ( jobs.anu.edu.au; REF: A212-14SE; link: http://jobs.anu.edu.au/PositionDetail.aspx?p=3931 ).

For further details about the positions please contact Dr. Hongdong Li or other CIs on the Centre node (Prof. Rob Mahony, Prof. Richard Hartley, Dr. Stephen Gould) (For all email correspondence regarding the positions, please include the REF number: A212-14SE in your email subject).

Consistent with our values of integrity and respect, ANU welcomes diversity in its staff, welcoming applications from women and from candidates from culturally and linguistically diverse backgrounds.