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Novel Properties of Semiconductor Nanostructures by Strain Engineering


This project aims to understand the novel properties of nanostructured semiconductors under strain by advanced characterisations and simulations.


Associate Professor Rongkun Zheng.

Research location

School of Physics

Program type



Semiconductor nanostructures show distinct properties from their bulk counterparts under stain. This project aims to understand these novel properties by advanced characterizations and simulations. it is not only of great research importance, but also opened a new window for novel nanodevice designing, taking the advantage of strong coupling between strain and physical properties.

Additional information

HDR Inherent Requirements

In addition to the academic requirements set out in the Science Postgraduate Handbook, you may be required to satisfy a number of inherent requirements to complete this degree. Example of inherent requirement may include:

- Confidential disclosure and registration of a disability that may hinder your performance in your degree;
- Confidential disclosure of a pre-existing or current medical condition that may hinder your performance in your degree (e.g. heart disease, pace-maker, significant immune suppression, diabetes, vertigo, etc.);
- Ability to perform independently and/or with minimal supervision;
- Ability to undertake certain physical tasks (e.g. heavy lifting);
- Ability to undertake observatory, sensory and communication tasks;
- Ability to spend time at remote sites (e.g. One Tree Island, Narrabri and Camden);
- Ability to work in confined spaces or at heights;
- Ability to operate heavy machinery (e.g. farming equipment);
- Hold or acquire an Australian driver’s licence;
- Hold a current scuba diving license;
- Hold a current Working with Children Check;
- Meet initial and ongoing immunisation requirements (e.g. Q-Fever, Vaccinia virus, Hepatitis, etc.)

You must consult with your nominated supervisor regarding any identified inherent requirements before completing your application.

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Opportunity ID

The opportunity ID for this research opportunity is 1632

Other opportunities with Associate Professor Rongkun Zheng