Postdoctoral Research Associate in Deep Learning

• Contribute to innovative research in the field of artificial intelligence
• Located on the Darlington Campus at the School of Electrical and Information Engineering
• 2 x full-time opportunities for 18 months offering a base salary of $93K – $103K p.a., plus leave loading + 17% superannuation

About the opportunity 

Reporting to Professor Dong Xu, Chair in Computer Engineering and ARC Future Fellow at the School of Electrical and Information Engineering, the Postdoctoral Research Associate will contribute to a range of research activities focused on deep learning for image/video processing and computer vision. In this role you will conduct high-quality research, publish research works in top tier conferences and journals and assist with the supervision of current PhD students.

The School of Electrical and Information Engineering has a reputation for the quality of its graduates, innovation in its undergraduate curriculum, and for the strength of its research and postgraduate teaching programs. The school has achieved major research outcomes in the fields of software, bio-electronics, computer engineering, photonics, power and telecommunication engineering

About you

The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for two Postdoctoral Research Associates with each having:

• completed (or near completion) a PhD in the relevant field of Computer Vision, Pattern Recognition, Image/Video processing or Machine Learning
• demonstrated skills/knowledge/experience in artificial intelligence research
• a proven track record through literature review, qualitative and quantitative research and laboratory methods
• demonstrated contributions to publications in top tier conferences and journals (e.g., IEEE T-PAMI, IEEE T-TIP, CVPR, ICCV, ECCV, ICML and NeurIPS)

To apply for this position, please address the above criteria in a cover letter and attach to your application.

Other

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

Closing time: 11:30pm Monday 20 September 2021

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

The University of Sydney is committed to diversity and social inclusion. Applications from people of culturally and linguistically diverse backgrounds; equity target groups including women, people with disabilities, people who identify as LGBTIQ; and people of Aboriginal and Torres Strait Islander descent, are encouraged.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard.  Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or support filling out this application, please contact Rebecca Astar or Linden Joseph, Recruitment Operations, at recruitment.sea@sydney.edu.au

© The University of Sydney

The University reserves the right not to proceed with any appointment.

Closing Date: 20 September 2021