PhD Scholarship in Medical Image Analysis: A prestigious opportunity awaits aspiring researchers in the field of machine learning and medical image analysis at City, University of London. This PhD Scholarship offers a competitive annual bursary for three years, along with full tuition coverage for UK/Home Students and partial fee support for European/Overseas Students. Additionally, recipients have the chance to earn up to £4,300 per year through a non-compulsory teaching assistantship.
PhD Scholarship in Weakly-Supervised Machine Learning for Medical Image Analysis
Summary Table:
| Qualification Type | PhD |
|---|---|
| Location | London |
| Funding for | UK Students, EU Students, International Students |
| Funding amount | £21,000/year (competitive) |
| Hours | Full Time |
| Placed On | 29th April 2024 |
| Closes | 30th June 2024 |
Study Area:
The PhD scholarship focuses on pioneering approaches in weakly-supervised machine learning for enhancing medical image analysis, particularly in identifying anomalous tissue and pathology from medical scans.
Scholarship Description:
Modern deep learning techniques have achieved remarkable success in medical image analysis, but their reliance on large, meticulously annotated datasets poses challenges. This scholarship aims to develop innovative methods that require less detailed annotations while maintaining high accuracy. By leveraging weak supervision and robust learning strategies, the project anticipates producing impactful publications in both computer science and medical domains.
Eligibility:
The scholarships are open to candidates with outstanding academic backgrounds, holding at least a second-class honours degree or equivalent qualification. While knowledge of modern machine learning techniques and Python coding is advantageous, it’s not mandatory. Non-native English speakers must meet specific language proficiency requirements.
Required Documents:
Applicants are required to submit:
- Academic transcripts
- CV
- References (if applicable)
- English language proficiency test results (if applicable)
How to Apply:
To apply, click the ‘Apply’ button above. No project proposal is necessary; simply upload a document with the title of the Scholarship. For inquiries about the application process, contact pgr.sst.enquire@city.ac.uk, and for project-related questions, reach out to Dr. Giacomo Tarroni at giacomo.tarroni@city.ac.uk.
Last Date:
Applications close on the 30th of June 2024 or until the position is filled. Successful candidates are expected to commence their doctorate ideally in July 2024, with flexibility for later start dates.
