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RESEARCH FELLOW (Level B, Fixed Term)

Ref: XXXXXX – NOTE THIS POSITION IS NOT YET OFFICIALLY ADVERTISED.

THE AUSTRALIAN NATIONAL UNIVERSITY –

RESEARCH SCHOOL OF INFORMATION SCIENCES AND ENGINEERING.

Department of Systems Engineering and Department of Computer Science

We seek to fill one post-doctoral position in the area of Computer Vision and Machine Learning to work with Professor Richard Hartley and Dr. Alex Smola. The project will involve applying Machine Learning techniques, and in particular kernel methods, to problems in Computer Vision such as object recognition object categorization, and image localization with respect to an image data-base (for instance, where in Canberra was this image taken?).

The research is funded by the Australian Research Council for three years, and will be carried out in close collaboration with the European Union’s LAVA project. The goals of LAVA are similarly to apply Machine Learning techniques to Vision problems. The LAVA partners that we will be most closely working with are at INRIA – Grenoble and Royal Holloway Institute, UK. The successful candidate will be expected to visit these institutions for periods to assist in coordinating this research.

Research School of Information Sciences and Engineering

The Research School of Information Sciences and Engineering is part of the Institute of Advanced Studies at the Australian National University. It consists of three departments involved in research and post-graduate education. This project is associated with the Computer Vision group of the Department of Systems Engineering (http://www.syseng.anu.edu.au) and the Machine Learning group in the Department of Computer Science (http://discus.anu.edu.au).

RSISE is also closely associated with National ICT Australia (NICTA) (http://nicta.com.au) and the successful candidate will have the option of being seconded to NICTA.

Remuneration: Remuneration will be in the ANU Level B range of $XXXX to $XXXX. However any employee seconded to NICTA will be offered a salary top-up to competitive international levels.

Enquiries: (but NOT applications) to

Professor Richard Hartley,
email: Richard.Hartley@anu.edu.au,
http://syseng.anu.edu.au/~hartley

or

Dr. Alex Smola,
Email: Alex.Smola@anu.edu.au
http://mlg.anu.edu.au/~smola

However, submit applications to jobs@anu.edu.au as described below.

Applications: There is no prescribed format for applications. Applicants should submit a detailed CV to jobs@anu.edu.au quoting the reference number XXXX. The CV should include names of referees, a description of research interests, and publication list. The application should also address the Selection Criteria mentioned below.

The application may also be sent to Richard Hartley or Alex Smola at the contact email address above. However, the official application must be sent to the address given above.

Closing date: The closing date is January 15^th, 2003.

SELECTION CRITERIA

Essential requirements

1.	Postgraduate qualification at PhD level with specialisation relevant to Computer Vision or Machine Learning.
2.	Research achievements demonstrated by published works in refereed journals or conferences of internationally reputed standard, or by patents granted and other commercialisation success.
3.	Potential for further career development
4.	Ability to motivate students, to communicate freely with other staff and to act as a team member.
5.	Commitment to ethical and professional standards.
6.	Good communication skills, oral and written.
7.	An understanding, as demonstrated in the application process, of equal opportunity principles and policies and a commitment to their application in a R & D context.