This PhD project at Kingston University focuses on the development of advanced methods for rapid and objective analysis of biomedical image and signal data. Hosted within the Faculty of Engineering, Computing and the Environment, the research aims to address key challenges in medical data interpretation by leveraging expertise in biophysics, biomedical engineering, electrical engineering, and electronic engineering. The successful candidate will work under the supervision of Professor D Wertheim, whose research includes the analysis of physiological signals and medical imaging, as evidenced by recent publications in pediatric research and respiratory monitoring.

The project will involve designing and implementing computational techniques for processing and analyzing biomedical images and signals, with potential applications in clinical diagnostics, patient monitoring, and health informatics. Candidates will have the opportunity to engage with interdisciplinary research, collaborate with experts in engineering and medical science, and contribute to impactful advancements in healthcare technology.

Funding for this position is available through the Kingston University Graduate School studentships competition for October 2026 entry. The studentship may cover tuition fees and provide a stipend, subject to the outcome of the competition. Applicants are encouraged to review the studentship details and eligibility criteria on the university's official website.

Eligibility requirements include a strong academic background in biomedical engineering, electrical engineering, electronic engineering, biophysics, or a closely related field. Experience with image and signal processing, computational analysis, or medical data is highly desirable. All applicants must meet Kingston University's English language proficiency standards.

The application deadline is March 4, 2026. Prospective students should consult the Graduate School Studentships information and the Faculty research webpage for guidance on preparing and submitting their application. This is an excellent opportunity for motivated individuals seeking to advance their research career in biomedical engineering and medical data analysis within a supportive academic environment.