Dr Jeff Kettle
- Senior Lecturer (Electronic & Nanoscale Engineering)
I’ve been based in the James Watt School of Engineering since 2020. I studied at Cardiff and Swansea Universities, where I worked on III-V LEDs, and then worked in a variety of industrial and academic settings, before being made a lecturer at Bangor University in 2012. During my time as a lecturer, I acquired grant funding from the Royal Society, Royal Academy of Engineering, Interreg, Welsh Government, InnovateUK and European Commission, worth around £2m. I also have experience undertaking commercial work with a range of semiconductor, electronic and engineering companies, particular in areas related to failure analysis and reliability improvement. I have a lot of experience working in solar cell reliability as well as manufacturing large area electronic devices based upon organic and metal oxide materials.
My current role is in ‘sustainable electronics,’ whereby I try to reduce the environmental impact of electronic and optoelectronic devices and systems through improving the long term stability, increasing recyclability, or reducing the electronic waste that they create. I also develop sensors and wireless sensors systems that enhance sustainability; for example, agri-tech sensors, monitoring of building usage, wearable sensors, and sensors that optimise manufacturing machine performance. I am also keen to work in an interdisciplinary fashion and have experience working with environmental scientists, biologists, medical professional as well as organic and inorganic chemists to produce functional devices with new materials
I am willing to take on PhD students in a number of areas of existing research strength and future research areas
- Improving the reliability of conventional electronics and optoelectronics;
- Material studies for large-area electronics, optoelectronics and solar cells (perovskite and organic solar cells);
- Packaging of electronic devices and electronics for harsh environments;
- New wireless sensor development for environmental and health monitoring;
- Applications of machine learning in sensors and renewable energy;
I currently teach in semester 2 on "Electronic Engineering 1Y (1022)"