Postgraduate research project

Neuromorphic devices for optoelectronic neural networks

Fully funded (UK only)
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

Neuromorphic engineering is poised to revolutionise information technologies by developing electronic devices that can realistically emulate biological neural networks. 

The aim of this project is to develop a new form of neuromorphic systems that merge photonic, electronic and ionic effects. This will bring new prospects for in-memory computing and artificial visual memory applications. You will develop photoelectric devices created using nanofabrication and multi-functional materials, employing low-cost processes compatible with large-area flexible substrates. 

As a researcher on this project you will develop, characterise and optimise single optoelectronic devices and arrays that emulate biological synapses in the human visual system capable of detecting and memorising or even processing images. This can be compared to the retina in the eye processing images in the visual cortex in the brain. 

This novel electronic technology can be used in various computer vision applications, including:

  • Internet of Things devices for visual data communication
  • human or environment detection and tracking
  • augmented virtual reality

Manufacture of these devices and systems relies on low-temperature processes and can be integrated on flexible substrates. This paves the way to incorporation of AI functionalities to wearable devices. 

You will join a multi-disciplinary team as part of the Flexible Nanoelectronics Lab in the School of Electronics and Computer Science (ECS) and in the Optoelectronics Research Centre (ORC). You will train and work in the world class facilities in the Zepler Institute.

This project is funded through the UKRI MINDS Centre for Doctoral Training. This is one of 16 PhD training centres in the UK with a unique focus on advancing AI techniques in the context of real-world engineered systems. Its remit spans novel hardware for AI, AI and machine learning, pervasive systems and IoT, and human-AI collaboration. We provide enhanced cross-disciplinary training in electronics and AI, entrepreneurship, responsible research and innovation, communication strategies, outreach and impact development as part of an integrated 4-year iPhD programme.