FPGA-based Machine Learning Acceleration


Location: Sydney
Duration: 3-months
Start Date: December 2022
Eligibility: AU Citizens and Permanent Residents
Scholarship: $10,000

About the Company

CruxML focuses on providing services and solutions for machine learning that achieve real-time performance on FPGA  platforms for real-time intelligent sensing.  CruxML’s mission is to work with our clients to adopt real-time machine learning in their applications. 

Project Objective

The intern will conduct numerical experiments in the training of quantised deep neural networks to support real-time radio frequency machine learning.

Intern Skills 

Experience with designing convolutional neural networks.


Applications must be submitted to by 13 November 2022 and should include additional documents:

  • Curriculum Vitae
  • Motivation Letter
  • Proof of Australian citizenship or permanent residence
    (e.g. passport, birth certificate, citizenship or PR certificate)


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