PhD Research Studentships
Combining AI and Optics for Healthcare Applications
| Supervisor: | Lei SU |
| Apply by: | 31 January 2024 |
| Start in: | September (Semester 1) |
Description
The rise of artificial intelligence (AI) and deep learning has been transforming human's ability to execute complex inference tasks using computers. In the field of photonics, deep learning has uncovered exciting applications in areas such as sensing, imaging, communication, and optical system designs. Meanwhile, AI and deep learning requires complex models and considerable computational time. Implementing learning and neural networks through all-optical circuits and devices provides a high-speed and low-energy-consumption alternative to the conventional approaches based on electronic circuits.
This project aims to develop deep-learning-based novel optical devices and systems for healthcare applications. The successful candidate will apply advanced machine learning and deep learning technologies to optical sensors and imaging devices. The project will be based on a close collaboration with local hospitals and industrial partners.
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.
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 Medical Engineering full-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-573" to associate your application with this studentship opportunity.
| Related website: | https://www.sems.qmul.ac.uk/staff/l.su | |
| SEMS Research Centre: | ||
| Keywords: | Machine Learning, Biomedical Engineering, Electronic Engineering |