PhD Research Studentships
Intelligent Sensing and Imaging Technologies for Healthcare Applications
| Supervisor: | Lei SU |
| Apply by: | 28 January 2026 |
| Start in: | September (Semester 1) |
Description
Healthcare is entering a new era where intelligent technologies are redefining how we understand and manage human health. This PhD project invites an ambitious and creative researcher to explore how advances in sensing, imaging, and artificial intelligence can be combined to enable earlier diagnosis, better monitoring, and more personalised treatment.
Working at the intersection of engineering, data science, and medicine, the project will investigate new ways to capture and interpret information from the human body, from subtle physiological signals to complex imaging data. By harnessing AI, these technologies can be transformed into powerful tools that support clinicians, enhance decision-making, and ultimately improve patient outcomes.
This studentship offers the opportunity to engage in both fundamental scientific research and applied innovation, within a collaborative and multidisciplinary environment. You will join a vibrant research community that brings together engineers, computer scientists, and healthcare professionals, united by a shared ambition to create the medical technologies of the future.
We are seeking a highly motivated individual with a strong academic background in a relevant discipline such as engineering, physics, computer science, or biomedical sciences. The ideal candidate will have a keen interest in applying technology and AI to address real-world healthcare challenges.
Essential qualities include:
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Curiosity and creativity in tackling interdisciplinary problems.
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Strong analytical, experimental, or computational skills.
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Excellent communication and collaboration abilities.
Experience with data analysis, machine learning, or medical device development is welcome but not essential. Above all, we are looking for someone eager to learn, innovate, and make a meaningful impact.
Funding
Funded by: China Scholarship CouncilCandidate will need to secure a CSC scholarship.
Under the scheme, Queen Mary will provide scholarships to cover all tuition fees, whilst the CSC will provide living expenses and one return flight ticket to successful applicants.
Please select Materials Science in Mysis when completing your application.
Eligibility
- The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
- If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of minimum score of 6.0 in each of Writing, Listening, Reading and Speaking).
- Candidates are expected to start in September (Semester 1).
Contact
For informal enquiries about this opportunity, please contact Lei SU.
Apply
Start an application for this studentship and for entry onto the PhD Organ-on-a-Chip Technologies full-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-680" to associate your application with this studentship opportunity.
| Related website: | https://www.sems.qmul.ac.uk/staff/l.su | |
| SEMS Research Centre: | ||
| Keywords: | Analytical Chemistry, Artificial Intelligence, Machine Learning, Biomedical Engineering, Electrical Engineering, Electronic Engineering, Nanotechnology, Robotics, Materials Science - Other, Optical Physics |