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Mitchell Kenney

3 months ago

PhD in Addressing Macular Diseases using Ultrathin Digital Optics University of Nottingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Nottingham

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Keywords

Computer Science
Machine Learning
Psychology
Biomedical Engineering
Electrical Engineering
Materials Science
Biology
Artificial Intelligence
Neuropsychology
Vision Science
Medical Science
Photonic
Visual Neuroscience
Age-related Macular Degeneration
Metamaterial
Physics
Electromagnetics

About this position

PhD opportunity at the University of Nottingham in Addressing Macular Diseases using Ultrathin Digital Optics, starting in October 2026. This interdisciplinary project sits across the Faculty of Engineering and the Faculty of Science (Psychology) in the UK, bringing together mathematics, physics, artificial intelligence, clinical practice, and visual neuroscience.

The project explores optical metasurfaces and ultrathin metamaterials as compact, passive optical devices that shape light in new ways. The aim is to develop multifunctional visual aids that may help address age-related macular degeneration and other eyesight problems by enhancing contrast at object edges and improving the visibility of shapes and details. Unlike bulky external devices or digital image-processing systems, this approach seeks a lightweight, electronics-free optical solution.

Research activities are expected to include mathematical modelling and simulation of optical and photonic structures, fabrication of ultrathin metasurfaces in the University of Nottingham cleanrooms, and clinical/visual neuroscience applications. The work will be supported by photonics and visual neuroscience laboratories, dedicated electromagnetic and optical design software, and cleanroom fabrication facilities within a collaborative environment spanning science, engineering, psychology, and healthcare.

Applicants should typically hold a 2:1 undergraduate degree or a Master’s degree in Physics, Applied Physics, Mathematical Sciences, Computer Science, Vision Science, or a closely related discipline from a recognised institution. A background in photonics/electromagnetics, nanoscience, or visual neuroscience/ophthalmology is desirable, along with programming skills (Python, MATLAB, or similar), strong analytical ability, and good English. Additional experience with simulation tools, machine learning frameworks such as TensorFlow or PyTorch, imaging systems, or optical lab work would strengthen an application.

Funding is not specified in the listing. The opportunity is stated to be open to UK, EU, and international students who can provide their own funding capability.

The application deadline is 17 August 2026. Interested candidates are advised to contact the supervisors for project enquiries and should note that shortlisted applicants will be invited for interview.

Funding details

Available

What's required

A 2:1 undergraduate degree or a Master’s degree in Physics, Applied Physics, Mathematical Sciences, Computer Science, Vision Science or a closely related subject from a recognised institution. Applicants should have a background in at least one of the following: photonics/electromagnetics theory, design and simulations; nanoscience; visual neuroscience or ophthalmology. Programming skills in Python, MATLAB or similar are required, along with strong analytical and problem-solving skills and good written and spoken English. Desirable experience includes photonic/electromagnetics simulation software, deep learning platforms such as TensorFlow or PyTorch, machine-learning mathematics and algorithms, imaging systems such as microscopy, and optical laboratory experiments.

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Professors

Prof at University of Nottingham

University Name
Country flag

United Kingdom

Research Interests

Cognitive Neuroscience

Computational Neuroscience

Vision Science

Covid-19

Exercise Psychology