Mitchell Kenney
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PhD in Addressing Macular Diseases using Ultrathin Digital Optics University of Nottingham in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 17, 2026
Country
United Kingdom
University
University of Nottingham

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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
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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