A Neurophotonic Platform as Universal Nerve Interface
We have assembled a team of experts whose combined expertise is essential to develop a universal nerve interface (UNI) by using neurophotonics technologies.
Associate Professor Stefano Palomba.
School of Physics
It is well known that opsin-like proteins can be expressed into neurons (Optogenetics). In this project, we will progress this further. Furthermore, we will tackle and solve challenges which will lead to developing an integrated photonic device, simply constituted by a light guide and a grating to couple light in/out of it, embedded inside a biocompatible film; this will serve as a light source/collector for the photoactive neuron.
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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The opportunity ID for this research opportunity is 2695
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Associate Professor Stefano Palomba