Researcher in FPGA-based AI Hardware Acceleration 6 days ago Be among the first 25 applicantsThis range is provided by University of Sydney.
Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base pay range A$89,831.00/yr - A$121,054.00/yrFull time, fixed term for 12 monthsOpportunity to advance research in AI Hardware AccelerationBase Salary $89,831 - $121,054 + 17% superannuationAbout the opportunity The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Research Associate or Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of accelerating ternary neural networks using FPGA devices.
The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track record in conducting machine learning research.
You will join a team of researchers that are pushing the boundaries of computing.
You will have access to state-of-the-art equipment and facilities and connect with leading researchers worldwide.Your key responsibilities will be to:deliver outcomes in a research project and ensure that milestones are metwork with colleagues and postgraduates within the projectprepare materials for publications in journals and conferencescollaborate with industry partners and leaders in the field of FPGA-based machine learning acceleratorsAbout 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 Researcher in FPGA-based AI Hardware Acceleration who has:strong experience in FPGA design, machine learning or a related fieldin the case of the Postdoctoral Research Associate, a PhD (or near completion) in FPGA design, machine learning or a related fieldexperience in the development of machine learning models using Python and PyTorchexpertise in two or more of the following technical areas: design of FPGA-based accelerators, high-level synthesis for FPGA design (HLS), quantisation of deep neural networks, large language models (LLMs)strong problem solving and analytical skillsSponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply.
Visa sponsorship is not available for this appointment.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 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 LGBTIQ+.
We welcome applications from candidates from all backgrounds.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer.
Find out more about our work on diversity and inclusion.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