University of Southampton
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PhD in Materials and Devices for Neuromorphic Computing Applications University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. Fees and funding are available via the project page; no stipend amount is stated in the post.
Deadline
Aug 31, 2027
Country
United Kingdom
University
University of Southampton

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About this position
PhD project at the University of Southampton in Materials and devices for neuromorphic computing applications.
This competition-funded doctoral project sits in the Faculty of Engineering and Physical Sciences and is based in the School of Electronics and Computer Science, with research activity linked to the Optoelectronics Research Centre (ORC), the Flexible Nanoelectronics Lab, and collaborations through NeuroSYNC and CeNT.
The project explores nanostructured materials and device architectures for brain-inspired computing with improved energy efficiency. Research topics include 2D materials, redox-active molecules, perovskites, ferroelectric polymers, and hybrid organic–inorganic systems, with applications in in-memory sensing, learning, computation, IoT, edge computing, artificial vision, and data storage.
Training includes materials deposition, device nano-fabrication, optoelectronic device engineering, photonic system integration, and use of advanced cleanroom and optical characterisation facilities.
Entry requirement stated: 2:1 honours degree. The page does not mention a language waiver or a specific stipend amount. Closing date: 31 Aug 2027.
Funding details
Competition funded PhD project. Fees and funding are available via the project page; no stipend amount is stated in the post.
What's required
Applicants should have a 2:1 honours degree. The project is suited to candidates with interests in materials science, nanoelectronics, photonics, device fabrication, and neuromorphic computing. Hands-on training will be provided in materials deposition, device nano-fabrication, optoelectronic device engineering, and photonic system integration.
How to apply
Review the project page and the full entry requirements, then use the university's PhD application process linked from the page. Check the funding and fees section before applying.
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