Publisher
source

University of Essex

Fully Funded PhD in Cache-Enabled Semantic Immersive Video Delivery University of Essex in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD studentship for 3 years at the international rate. Funding covers the student stipend at the UKRI rate and tuition fees at the international rate; salary/stipend stated as £21,805 matching the UK Research Council rate.

Deadline

Nov 1, 2026

Country flag

Country

United Kingdom

University

University of Essex

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
Signal Processing
Electrical Engineering
Information Technology
Networking
Telecommunications Engineering
ML

Suggested positions

About this position

Fully funded PhD studentship at the University of Essex (School of Computer Science and Electronic Engineering) in partnership with NexCache Ltd.

The project is titled Cache-enabled semantic immersive video delivery and sits at the intersection of computer science, electrical/electronic engineering, networks, machine learning, communications engineering, and signal processing. The successful candidate will join the 6G Lab and the Network Convergence Laboratory and work on real-world research problems in both academic and industrial environments.

Supervision is by Prof. Nikolaos Thomos and Dr Eirina Bourtsoulatze, together with the NexCache team. The project aims to improve immersive content delivery over networks by exploiting content semantics.

Funding is available for 3 years and covers a UKRI-rate stipend plus international tuition fees. The post states a stipend of £21,805.

Eligibility highlights: applicants should have a strong background in networking and machine learning, a good understanding of signal processing, and a Distinction or high 2:1 MSc (or equivalent) in Electronic Engineering, Computer Science, or a relevant field.

Deadline: 1 November 2026. Applications are made via the university application portal; choose PhD in Computer Science or Electronic Engineering, list the named supervisors, and upload a one-page A4 motivation/research proposal statement.

Funding details

Fully funded PhD studentship for 3 years at the international rate. Funding covers the student stipend at the UKRI rate and tuition fees at the international rate; salary/stipend stated as £21,805 matching the UK Research Council rate.

What's required

Applicants should have a strong background in networking and machine learning, with a good understanding of signal processing. A Distinction or high 2:1 MSc degree from a UK university, or an equivalent overseas qualification, in Electronic Engineering, Computer Science, or a relevant field is required. The post seeks a highly motivated and enthusiastic candidate able to think and work independently.

How to apply

Apply through the University Application portal. Select PhD in Computer Science or Electronic Engineering, name Prof. Thomos and Dr. Bourtsoulatze as supervisors, and use the project title provided. Upload a one-page A4 research proposal/motivation statement in the portal.

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?