Postdoctoral Researcher in Theoretical Computer Science/Algorithms

• Full time, fixed term until June 2027. Located at the Faculty of Engineering on the Darlington Campus
• Opportunity to contribute to the research and culture of the School of Computer Science and develop your research skills and profile
• Base Salary Level A, $117,936 - $125,896 p.a + 17% superannuation 

 

 

About the opportunity

 

The Faculty of Engineering are welcoming applications for a Postdoctoral Researcher in Theoretical Computer Science/Algorithms to join the team and contribute to the research and culture of the Sydney Algorithms and Computing Theory group (SACT) at the School of Computer Science, working with Dr. Clement Canonne on distribution testing and quantum algorithms for state certification.

 

Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and contribute to their implementation. The candidate will be expected to conduct independent, quality research and contribute to the collegial culture of the research group. They will be given opportunities to attend and present their work at flagship theoretical computer science and machine learning conferences, as well as to mentor HDR and Honours students.

 

Your key responsibilities will be to:

 

• work with Dr. Canonne and his HDR students help develop the theoretical aspects of the project
• participate to the research activities of the broader SACT group (seminars, reading group, etc.)
• conduct independent, quality research in areas related to the project.

 

To find out more about the School of Computer Science, click here.

 

 

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 Researcher in Theoretical Computer Science/Algorithms who has:

 

• a PhD (or near completion) in Computer Science or related field
• a publication record in learning theory, differential privacy, and/or randomized algorithms
• a solid background in theoretical computer science or information theory
• a desire to contribute to the collegial culture of the SACT group.

 

 

Pre-employment checks

 

Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University.  Also, to meet the University’s obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. 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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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 LGBTQIA+. We welcome applications from candidates from all backgrounds. 

 

We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. 

 

 

How to apply

 

Please address the selection criteria in your application (including a cover letter, CV, and any additional supporting documentation) which 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 any documents in alternate formats, please contact Cherie Goodwin or Rebecca Astar, Recruitment Operations by email to [email protected] .

 

© The University of Sydney

 

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

Click to view the Position Description for this role.

Applications Close

Friday 04 December 2026 11:59 PM