UNIVERSITY OF SYDNEY

Postdoctoral Research Associate in FPGA-based Machine Learning

Location
Sydney, Australia
Salary
Base Salary $95,047 - $105,305 + 17% superannuation
Posted
05 May 2022
End of advertisement period
05 Jun 2022
Ref
0092363
Contract Type
Fixed Term
Hours
Full Time
  • Full time for 12 months
  • Opportunity to advance research in radio frequency machine learning
  • Base Salary $95,047 - $105,305 + 17% superannuation

About the opportunity

The School of Electrical and Information Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of applying machine learning techniques to radio frequency applications. The project aims to apply real-time clustering techniques to radio frequency fingerprinting. The successful candidate will have significant experience in machine learning, signal processing, FPGA design and an outstanding track record in conducting machine learning research.

Your key responsibilities will be to:

  • deliver outcomes in a research project and ensure that milestones are met
  • work with colleagues and postgraduates within the project
  • prepare materials for publications in journals and conferences

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 FPGA-based Machine Learning who has:

  • a PhD in signal processing or machine learning (exceptional candidates who are near completion are also invited to apply)
  • experience in the development of machine learning models using Python
  • experience in embedded systems and preferably FPGA design
  • expertise in several of the following technical areas: radio frequency fingerprinting, clustering, physical layer wireless communication.

To apply for this role, please address the following questions in a cover letter that you attach to your application:

  1. What is your experience in developing machine learning models?
  2. What is your experience in embedded systems?
  3. What is your experience in radio frequency fingerprinting, clustering or physical layer wireless communications?
  4. What is your programming experience?

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.

Sponsorship / work rights for Australia

Due to the nature of this research project, only current citizens of Australia, Canada, New Zealand, the United Kingdom, and the United States are eligible to apply.

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.

© 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

Sunday 05 June 2022 11:59 PM

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