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February

Research Fellow (Deep Declarative Networks)

Private Company - Barton, ACT

Education, Childcare & Training
Source: uWorkin

JOB DESCRIPTION

Classification: Academic Level B

Salary package: $99,809 - $113,165 per annum plus 17% Superannuation

Term: Fixed Term, Full time (2 years)

  • Outstanding opportunity to work in on of the world's top computer vision and machine learning groups on the exciting new topic of deep declarative networks (also known as implicit deep layers).
  • Develop theory and algorithms for embedding mathematical and physical models within end-to-end learnable pipelines.
  • Work on problems that extend the practice of deep declarative networks applied to tasks in machine learning and computer vision.

Position overview

This position is a fixed term appointment for a period of 2 years to contribute to innovative research on Deep Declarative Networks (Gould et al., 2019). Applications are particularly invited from researchers whose interests and expertise are in the areas of computer vision, machine learning, deep learning and optimisation. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia.

For more information please contact the Hiring Manager, Professor Stephen Gould, T: +61 2 6125 8642, E: stephen.gould@anu.edu.au

Closing Date: 3 March 2021

Application information

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:

  • A detailed curriculum vitae including a full publication list and 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.
  • A statement addressing the selection criteria.
  • (Optional) a statement addressing past and/or potential contributions to diversity through research, teaching, and/or service
  • Other documents, if required.

Applications which do not address the selection criteria may not be considered for the position.