PhD scholarship for AI/ML driven chip design
The scholarship aims to develop new design techniques for advanced silicon chips based using artificial intelligence (AI) and machine learning (ML) techniques.
The PhD candidate will be part of an industry-supported research group at Macquarie University working on advanced hardware and silicon design.
Key details
- 20246966
- PhD
- Applications close 1 March 2025 (international), 30 April 2025 (domestic)
- Domestic, International
- Engineering, science
- $38,500 p.a.
You will work alongside expert hardware and chip design researchers with a goal to improve the design efficiency and performance of nanoscale chips.
About the scholarship
The SiP Lab at Macquarie University is offering a fully-funded PhD scholarship and top-up focused on the development of integrated circuit (IC) chips using advanced AI/ML design techniques.
The research will emphasise software driven design of integrated circuits. You will:
- work in a large research group with support from industry
- work alongside researchers working on CMOS design for rad-hard environments and advanced integrated circuit design
- be supported in developing skills for industry while undertaking your research degree.
This opportunity will be ideal for someone with:
- excellent software (Python) skills
- an understanding of machine learning techniques
- an understanding or demonstrated interest in learning physics, electronics and chip design.
Availability
This scholarship is available to eligible candidates to undertake a direct entry three-year PhD.
Components
The scholarship comprises:
- a tuition fee offset/scholarship
- a living allowance stipend.
The value of each stipend scholarship is $38,500 per annum (full time, indexed) for three years.
In addition, you may be eligible for an Industry top-up with our industry partner Atto Devices. This provides an additional $28,875 stipend per annum, bringing the total stipend to $67,375.
How to apply
Before submitting your application, send a targeted cover letter, academic transcript and an up-to-date CV to Professor Mike Boers at m.boers@mq.edu.au.