Address- Full time, 12 months fixed term position. 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, $101,507 - $112,462 p.a + 17% superannuation
About the opportunity
The Faculty of Engineering are welcoming applications for a Postdoctoral Researcher in Theoretical Computer Science/Algorithmsto 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 efficient privacy-preserving algorithms for distributed learning (as part of the ARC DE230101329 project on "Trading Privacy, Bandwidth, and Accuracy in Algorithmic Machine Learning").
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.
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
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.
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For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Kevin Lim, Recruitment Operations by email to ***************@sydney.edu.au .
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Applications Close
Monday 10 June 2024 11:59 PM
Click to view the Position Description for this role.
