Postdoctoral Fellow

Classification: Academic Level A
Salary package: $85,010 - $106,702 per annum plus 17% superannuation
Terms: Full time, Fixed term (up to 12 months)
(flexible arrangements, job share, or part time hours will be considered).

Position Overview

This position is a fixed term for a period of 12 months appointment to contribute to an Australian Research Council Discovery funded project to develop approaches to model uncertainty for learned computer vision systems, including dense prediction. The position will develop novel methods for deep learning in computer vision that accurately quantify their own uncertainty for both in-distribution and out-of-distribution data.

The Person

We are seeking a highly motivated and enthusiastic researcher with an interest and capacity to develop and investigate models for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include experience in uncertainty model calibration, out of distribution detection and dense prediction. They should have an interest in how these techniques can impact downstream applications such as Bushfire detection and medical image segmentation.

We are looking for a strong team player with excellent interpersonal skills and the capacity to quickly develop productive, professional relationships with colleagues and stakeholders. Highly developed organisational skills and effective self-management are also important.

The School

The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence, computer vision and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse inclusive culture.

For further information please contact, Professor Nick Barnes, School of Computing, E: nick.barnes@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au 

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

Application information

In order to apply for this role please make sure that you upload the following documents:

• A statement addressing the selection criteria.
• A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
• Other documents, if required.

The committee will consider candidates who do not meet one or more aspects of the selection criteria.

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.