Publisher
source

University of Southampton

Top university

Just Landed

PhD in Advanced Modelling and Characterisation of Memristors University of Southampton in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition-funded PhD project. Funding opportunities are available for UK and international students. Horizon Europe fee waivers may cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

Deadline

Jul 1, 2027

Country flag

Country

United Kingdom

University

University of Southampton

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Electrical Engineering
Materials Science
Mathematics
Solid State Physics
Physics
Applied Mathematic

Suggested positions

About this position

PhD opportunity at the University of Southampton in advanced modelling and characterisation of memristors, hosted by the Faculty of Engineering and Physical Sciences and the School of Electronics and Computer Science.

This project sits at the intersection of physics, electrical engineering, applied mathematics, materials science, and computer science. The research will combine device simulations with electronic characterisation and optoelectronic measurement techniques to uncover the resistance modulation mechanisms in memristive devices. Materials systems mentioned include hybrid perovskites, silicon-carbide, and vanadium (IV) oxide.

The project aims to develop new device models for mechanisms such as ionic energy barrier modulation, filament formation, phase change, and Joule heating, then use those models to design transient characterisation protocols for real-world devices. The broader application area is neuromorphic electronic devices and energy-efficient AI hardware.

Eligibility: applicants should have a UK 2:1 honours degree or international equivalent in applied mathematics, physics, electronics, or a related discipline.

Funding: this is a competition-funded PhD project. Funding options include Horizon Europe fee waivers, Presidential Bursaries, and school studentships; top-ranked applicants may receive tuition coverage and a living stipend. Funding is awarded on a rolling basis, so early applications are encouraged.

How to apply: submit an online application for Research entry in 2027/28 under the Faculty of Engineering and Physical Sciences. Select full time or part time, choose PhD Electronic & Electrical Engineering (7092), and add the supervisor name in section 2. Include a personal statement, CV, two academic references, and transcripts.

Supervisory team: Professor Dimitra Georgiadou, Dr Philip Calado, and Professor Giles Richardson.

Location: Southampton, United Kingdom.

Funding details

Competition-funded PhD project. Funding opportunities are available for UK and international students. Horizon Europe fee waivers may cover the difference between overseas and UK fees for qualifying students. Competition-based Presidential Bursaries may cover the difference between overseas and UK fees for top-ranked applicants. Competition-based studentships typically cover UK-level tuition fees and a stipend for living costs for top-ranked applicants. Funding is awarded on a rolling basis.

What's required

Applicants must have a UK 2:1 honours degree or international equivalent in applied mathematics, physics, electronics, or a related discipline.

How to apply

Apply online and choose programme type Research for 2027/28 in the Faculty of Engineering and Physical Sciences. Select full time or part time, choose PhD Electronic & Electrical Engineering (7092), and add the supervisor name in section 2. Include a personal statement, CV, two academic references, and degree transcripts to date.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?