Emergence Quantum is inviting students to apply for an internship to build an artificial network used for MOSFET SPICE model extraction.
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Scope of work

·     Review publications describing state-of-the-art practices in this field

·     Generate simulated data to be used as inputs to the Artificial Neural Network using a spice simulator 

·     Build ANN in Python language 

·     Research the best input selection and ANN architecture  

·     Investigate robustness to imperfect input data

·     Hands-on CV/IV MOSFET characterisation may apply 

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Expected outputs/deliverables  

·     A report assessing the suitability of ANN for MOSFET SPICE model generation 

·     Python code(s) demonstrating some level of implementation 

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Student learning outcomes

·     Learnings of MOSFET physics and their model implementation in commercial simulators

·     MOSFET electrical characterisation 

·     ANN build optimisation

·     Commercial Foundries Process Design Kit (PDK) familiarisation

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About the internship

The paid internship will be completed onsite at Emergence Quantum, based in Camperdown, Sydney. The project will span 90 days across a typical working week, however flexibility can be arranged. We are seeking HDR students for this project and we are keen to speak to your university supervisor should you wish to complete this as an industry internship. We are also open to making exceptions for those who are not studying a PhD or Masters.

Interested applicants are invited to send an email to the team with your CV, cover letter and right to work in Australia by June 1, 2026.