Postgraduate research project

Nanostructured neural architectures for sustainable neuromorphic computing

Funding
Fully funded (UK and international)
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

Artificial intelligence is transforming society but comes with a growing energy and carbon cost. This project will explore new nanostructured materials and device architectures that can deliver brain-inspired computing with radically improved energy efficiency.

You will design and fabricate nanoscale neural elements using emerging semiconductors, such as 2D materials, ferroelectric polymers, and hybrid organic–inorganic systems, exploring their potential for in-memory sensing, learning, and computation. By integrating these materials into scalable device arrays, the project aims to create neuromorphic systems capable of energy-efficient information processing. 

Working within the SustAI CDT’s multidisciplinary environment, you will collaborate with researchers across electronics, photonics, and machine learning to advance the next generation of green intelligence technologies—bridging materials innovation and sustainable AI architectures. You will join the multi-disciplinary Flexible Nanoelectronics Lab, work at the world-class labs of the Optoelectronics Research Centre, while you will have the opportunity to build connections with UK and European research partners by being affiliated also with the UK Multidisciplinary Centre for Neuromorphic Computing.

Additionally, you will be encouraged to attend major conferences, sharing your work and networking with leading experts. The outcomes of your research can have various applications, such as Internet of Things and edge computing, AI, artificial vision, high density data storage for wearable devices, and many others. This project is a chance to contribute to emerging technologies with the potential to revolutionise data processing and computing, while gaining skills, recognition, and experience that will position you as a leader in the field of nanoelectronics and memory technology. 

The project is part of the UKRI AI Centre for Doctoral Training in AI for Sustainability (SustAI), a 4-year integrated programme (iPhD). You will be part of a dynamic and diverse cohort, benefiting from expert mentorship and interdisciplinary collaboration. The programme includes comprehensive training in sustainability, AI and machine learning, and digital design, preparing you for a career at the forefront of research in this area. You'll have access to state-of-the-art facilities and resources, fostering an environment of innovation and excellence.

The School of Electronics and Computer Science is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance. The University of Southampton is committed to sustainability and has been awarded the Platinum EcoAward.