This PhD project at Kingston University focuses on the development and modeling of distributed antenna systems for RF beamforming. Traditional phased array antennas rely on spatially distributed elements connected by conducting media, which simplifies control and synchronisation. However, the next frontier in antenna technology involves creating phased arrays where the elements are not physically connected, presenting unique challenges in control, synchronisation, and syntonisation. The research will investigate advanced techniques to address these challenges, aiming to predict and optimize beamforming performance in distributed antenna systems. Applications of such systems, including their use in drone swarms and other wireless communication scenarios, will be explored. The project will utilize MATLAB for modeling the behavior and performance of distributed antenna systems, providing a computational framework to test and validate new technologies that could enable practical implementation. Supervision is provided by Professor S Harrmer, an expert in antenna systems and RF engineering. The project is part of the Graduate School studentships competition for October 2026 entry, offering potential funding for successful applicants. The Faculty of Engineering, Computing and the Environment at Kingston University provides a vibrant research environment with access to state-of-the-art facilities and interdisciplinary collaboration opportunities. Applicants should have a strong background in electrical engineering, computer science, or a related discipline, with experience in MATLAB and an understanding of antenna theory and signal processing. The position is ideal for candidates interested in cutting-edge research at the intersection of engineering, computing, and wireless communication. For more information on funding and application procedures, visit the Kingston University PhD Studentships page and the Faculty research webpage. The application deadline is March 4, 2026.

This PhD project at Kingston University focuses on the grading of vitreous degeneration in the human eye using Infra-Red confocal Scanning Laser Ophthalmoscopy (IRcSLO) imaging. Traditional imaging methods such as optical coherence tomography (OCT) provide static images and information about backscattering within the vitreous body, but forward scattering effects—those most relevant to patient experience—are not adequately captured. IRcSLO offers dynamic imaging capabilities that allow for the assessment of forward scattering by mobile scattering centres in the vitreous, making it a superior tool for diagnosing and grading the severity of vitreous degeneration. The research will involve the development and application of advanced image processing techniques to separate intensity changes on the retina caused by mobile scattering centres from the fixed anatomical features of the eye. This separation will enable the estimation of both the mobility and severity of vitreous degeneration, ultimately leading to the creation of an objective grading system for clinical use. The project is highly interdisciplinary, drawing on expertise in ophthalmology, biomedical engineering, computer science, and medical imaging. Supervision will be provided by Professor S Harrmer, an expert in the field. The successful candidate will join the Faculty of Engineering, Computing and the Environment at Kingston University, benefiting from a vibrant research community and access to state-of-the-art facilities. Funding for this position is available through the Graduate School studentships competition for October 2026 entry. Applicants are encouraged to review the studentships information and faculty research pages for further details on the application process and eligibility criteria. Entry requirements include a strong undergraduate degree in a relevant discipline such as biomedical engineering, computer science, medical science, or biology. Experience or a keen interest in image processing and medical imaging is highly desirable. International applicants may need to demonstrate English language proficiency according to Kingston University standards. The application deadline is March 4, 2026. Interested candidates should consult the Kingston University PhD Studentships page and the Faculty of Engineering, Computing and the Environment research page for detailed instructions on how to apply. This project offers an exciting opportunity to contribute to the advancement of clinical diagnostics in ophthalmology through innovative imaging and computational techniques.