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University of Sussex

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Fully Funded PhD in Metasurface-Based Diffractive Computing for THz Communications and Sensing University of Sussex in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The PhD opportunity is described as fully funded, but no stipend amount, tuition coverage details, or other financial terms are specified.

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Country

United Kingdom

University

University of Sussex

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Terahertz Technology
Microwave Engineering
Metasurface
Physics
ML

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About this position

The University of Sussex is offering a fully funded PhD opportunity in metasurface-based diffractive computing for terahertz (THz) communications and sensing.

The project will develop a new generation of THz neural radios that use wave propagation and reconfigurable metasurfaces to perform intelligent signal processing directly in the wave domain. The research combines machine learning, electromagnetic wave engineering, and advanced metasurface design to investigate real-time, energy-efficient signal recognition and processing.

The work aims to explore alternatives to conventional digital electronics by exploiting the physical properties of electromagnetic waves and programmable metasurfaces. The successful researcher will contribute to the design and study of systems for THz communications and sensing, with research themes spanning diffractive computing, neural networks, neuromorphic computing, and electromagnetic signal processing.

The project is associated with Mohammad Neshat, a faculty member at the University of Sussex, and offers a research environment at a UK university working across electrical engineering, electromagnetic wave technology, machine learning, and intelligent communications.

Funding details

The PhD opportunity is described as fully funded, but no stipend amount, tuition coverage details, or other financial terms are specified.

What's required

Applicants should have a strong academic background and strong knowledge of electromagnetic wave propagation and metasurface design. Familiarity with machine learning and neural networks is advantageous. Candidates must be able to start by May 2027; UK/Home applicants will be prioritised, while eligible international applicants are welcome to discuss their eligibility.

How to apply

Send your CV to Mohammad Neshat at [email protected] to discuss your eligibility and interest in the project. Candidates should be able to start by May 2027.

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