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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

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Country

United Kingdom

University

University of Southampton

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Keywords

Computer Science
Chemistry
Electrical Engineering
Materials Science
Silicon Technology
Perovskite
Photonic
Device Physics
Nanoelectronic
2d Material
Physics

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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.

More information can be found here

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