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.
Application
Applications must be submitted to info@defenceinnovationnetwork.com 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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