[School of Engineering PhD Scholarships] Wearable EEG-Guided Neuromodulation

About the project

About the Project We have been creating a ‘closed loop’ neuromodulation platform for a number of years. The aim is to record brain activity using a wearable device, and to use the collected signal to direct brain stimulation in order to make the neuromodulation more targeted. There are many applications such such technology, such as in chronic pain management. To date, we have focused on time domain features in the electroencephalogram (EEG) as the signal used to guide the neuromodulation. We now aim to make the next generation of this neuromodulation platform. There are avenues in all different parts of the system, for example improving the hardware present or the real-time artifact removal. We particularly aim for incorporating more control theory based approaches for closing the loop between the brain signal recording and the brain stimulation. The approach(es) employed must be capable of operating in real-time, on low power hardware typically found in a wearable device. The project will particularly suit a student with an interest in control theory, who is also interested in the practical application and deployment of their approaches. For example, we aim to collect EEG signals (in addition to using pre-recorded ones), and to explore the deployment of control algorithms onto low power hardware. This project is expected to start in September 2027. Before you apply: We strongly recommend that you contact the supervisors for this project before you apply. How to apply: To be considered for this project you must complete a formal application through our online application portal. If you already have an applicant account this link will directly open an application for PhD School of Engineering Scholarships . If you don’t already have an applicant account, please follow the instructions here. . When applying, please specify the full title and supervisor/s of the project, details of your previous study, and names and contact details of two referees. You must also upload a Supporting Statement describing the motivation to apply to the project, your CV and transcripts of awarded and in-progress university qualifications . Please note late or incomplete applications will not be considered. Equality, diversity and inclusion are fundamental to the success of The University of Manchester and central to all our activities. A diverse research community strengthens creativity, productivity and quality, while increasing the societal and economic impact of our work. We welcome applicants from all career paths, backgrounds and sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation or transgender status. We welcome applications from candidates returning to study after a career break or experience in other roles. Flexible study arrangements may be available, including part-time study at 50%, 60% or 80%, subject to the requirements of the project and funder. Eligibility : The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree (or international equivalent) in Electronic Engineering, Biomedical Engineering, or a closely related subject OR any upper-second class (2:1) honours degree and a Master’s degree at merit (or international equivalent) in Electronic Engineering, Biomedical Engineering, or a closely related subject. This project will remain open until filled. If your application is submitted by 1 st November 2026, you can expect a decision by 18 th December 2026. If your application is submitted by 15 th January 2027, you can expect a decision by 30 th March 2027. Self or externally funded students can also be considered for this project. FSESoE

Research areas