Postdoctoral Research Associate in Deep Learning Theory (usyd)

Job Description

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

• Opportunity to contribute to research for Deep Learning Theory at the University of Sydney

• Base Salary Level A $105,350 - $112,462 p.a. + 17% superannuation

About the opportunity

The School of Mathematics and Statistics is currently seeking a Postdoctoral Research Associate in Deep Learning Theory to work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks.      

Your key responsibilities will be to:

• work on the ARC DP project on approximation theory of structured neural networks

• work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks

• complete simulations and carry out related applications of deep learning theory

• help with 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 Deep Learning Theory who has:

• a PhD in mathematics, applied mathematics, data science, or a related area

• an excellent track record of publishing high-quality papers on deep learning theory, machine learning theory, or approximation theory  

• research experience in deep learning theory, machine learning theory, and approximation theory

• a solid mathematics background

• good communication skills.

To keep our community safe, please be aware of our JOB IS FROM: postdocjobs.oneVIEWCOVID 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.  

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 Nicole Turle, Recruitment Operations by email to recruitment.sea@sydney.edu.au

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