• Full time, 2 years fixed term. Located at the School of Mathematics and Statistics, Camperdown Campus

• Opportunity to contribute to research in mathematics for trustworthy AI at the University of Sydney

• Base Salary Level A, $105,314 - $116,679 p.a. + 17% superannuation

About the opportunity

The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in Mathematics for Trustworthy AI to work on stochastic optimisation and statistical theory for deep representation learning, fair machine learning, privacy-preserving learning, multi-objective learning, and AI Safety. There will be potential opportunities to visit the IBM research center in Yorktown heights New York, to conduct collaborative research related to trustworthy AI. 

Your key responsibilities will be to:

• design efficient stochastic optimisation algorithms for trustworthy machine learning, deep representation learning, multi-objective learning, and AI Safety

• work on statistical generalization theory for optimisation algorithms and the intricate interaction between statistics, computational optimization, and trustworthy elements (e.g., fairness, differential privacy, and robustness)

• conduct extensive experimental validation of the developed learning algorithms and carry out industrial applications

•  contribute to external engagement and academic communications.

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 Mathematics for Trustworthy AI who has:

• a PHD (or near completion?) in mathematics, applied mathematics, data science, statistics, or a related area

• an excellent track record of publishing high-quality papers on machine/deep learning, machine learning theory or optimisation in top-tier - outlets (?)

• research experience in machine learning and related areas

• a solid mathematics background

• good programming skills

• good communication skills.

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 roles 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. 

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 Simon Drew, Recruitment Operations, Human Resources 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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