Josh Bird
Academic and research departments
School of Computer Science and Electronic Engineering, Advanced Technology Institute.About
My research project
Ion beam growth of isotopically pure layersI'm currently a PhD student at Surrey's Ion Beam Centre, under the supervision of Prof Roger Webb and Dr Luke Antwis.
My research project focuses on the deposition and growth of isotopically pure layers using ultra-low energy ion beams. This will first require developing precision deceleration and deposition hardware, and later involve an analysis of the deposited materials. The unique properties of these isotopically pure materials mean that we expect them to have applications in quantum computing and power electronics.
Previously, I graduated with a BEng in Electronic Engineering, and was awarded the Russell Gwilliam Prize for best combined performance in the final year projects. My individual project (supervised by Dr Imalka Jayawardena) explored the use of focused ion irradiation for strain engineering of thin-film perovskite solar cells. And my group project involved creating a low-power IoT device for wildlife conservation. This device used embedded machine learning to classify audio of nearby wildlife in real time.
Supervisors
I'm currently a PhD student at Surrey's Ion Beam Centre, under the supervision of Prof Roger Webb and Dr Luke Antwis.
My research project focuses on the deposition and growth of isotopically pure layers using ultra-low energy ion beams. This will first require developing precision deceleration and deposition hardware, and later involve an analysis of the deposited materials. The unique properties of these isotopically pure materials mean that we expect them to have applications in quantum computing and power electronics.
Previously, I graduated with a BEng in Electronic Engineering, and was awarded the Russell Gwilliam Prize for best combined performance in the final year projects. My individual project (supervised by Dr Imalka Jayawardena) explored the use of focused ion irradiation for strain engineering of thin-film perovskite solar cells. And my group project involved creating a low-power IoT device for wildlife conservation. This device used embedded machine learning to classify audio of nearby wildlife in real time.