Postdoctoral Research Associate in Deep Learning (usyd)

Job Description

• Full time, 4 years fixed term. Located on the Darlington Campus at the School of Computer Sciences

• Opportunity to contribute to deep learning research

• Base Salary Level A, Step 6, $105,350 p.a. + 17% superannuation 

About the opportunity

Established as the first computer science department in Australia, the School of Computer Science (SCS) is research intensive and has a strong tradition of research-led teaching. The School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs with commerce and science. SCS is one of the seven schools in the Faculty of Engineering, which has a strong position within Australia and worldwide.

We are currently seeking to appoint a Postdoctoral Research Associate to contribute to a range of research activities focused on deep learning and its applications in 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 PhD/MPhil students.

Working closely with Dr. Chang Xu, the candidate will focus on developing novel algorithms and theories to boost the efficiency of deep neural networks and explore their computer vision applications.

Your key responsibilities will be to:

• contribute to research publications and present findings at relevant conferences and seminars,

• assist in teaching and curriculum development for relevant courses related to deep learning,

• collaborate in the planning and organization of events, seminars, and workshops related to the research area

• participate in the preparation and submission of research grant,

• provide guidance and mentorship to junior team members and assist in their research projects.

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 a Postdoctoral Research Associate in Deep Learning who has:

• a PhD (or near completion) in the relevant field of Computer Vision, Pattern Recognition, Machine Learning or Data Mining

• demonstrated skills/knowledge/experience in developing innovative deep learning algorithms or prototypes

• 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, NeurIPS, ICLR and ACM SIG-KDD).

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

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

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

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

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.  

If you are a current employee of the University or a contingent worker with access to Workday, 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 Kevin Lim, Recruitment Operations, at recruitment.sea@sydney.edu.au.

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

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