About the project
Artificial intelligence demands faster, more efficient hardware. This PhD project addresses the energy and latency bottlenecks of modern computing hardware by bringing memory and computation together. Join us in developing neuromorphic devices using foundry-compatible ferroelectric diodes with two-dimensional materials for future computing hardware.
Ferroelectric diodes (FeDs) are two-terminal, non-volatile memory devices that exhibit rectifying current–voltage hysteresis, enabling intrinsic self-selection. This makes FeDs attractive for dense crossbar arrays in neuromorphic computing architectures that address the energy, latency, and data-movement bottlenecks of current AI hardware.
However, key challenges, including limited cyclability, high operating voltages, insufficient read currents, and device variability, currently restrict their scalability and commercial viability. Building on our recent breakthroughs in developing ultra-clean metal contacts to two-dimensional (2D) semiconductors (Nature Electronics, 2025) and ferroelectrics (Nano Letters, 2024), this PhD project aims to develop reliable, multi-bit ferroelectric diode arrays using foundry-compatible processes.
The central objective is to control ferroelectric domain structure, switching dynamics, and interfacial electrostatics to realise stable, analog-like conductance states suitable for neuromorphic learning and inference. By systematically addressing endurance, variability, and operating voltage, the project will establish scalable design principles aligned with emerging AI hardware requirements.
As part of the Materials for Intelligent Nanoelectronic Devices (MINDs) lab, the student will receive comprehensive training in nanofabrication and materials characterisation at the Southampton Nanofabrication Centre, one of the most advanced university cleanrooms in Europe.
Device development will be complemented by advanced electronic and optoelectronic characterisation within the Sustainable Electronic Technologies (SET) group and the ECS Centre for Neuromorphic Technologies.
The project involves collaboration with the University of Cambridge and the National Physical Laboratory (NPL), providing access to world-class metrology and device benchmarking expertise.
This interdisciplinary environment will prepare the student for careers in academic research and the growing AI hardware industry.
The School of Electronics & 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.
