AI Research Fellow: Neonatal Retinal Imaging & Models

UCL; Greater London; Hybrid; GBP 42,000 - 51,000; Full time

Benefits offered by this job

Generous pension scheme

27 days holiday

Bank holidays 8 days

Closure days

Job summary

UCL Institute of Ophthalmology invites applications for a Research Fellow to advance medical AI in paediatric ophthalmology. The role focuses on building a large neonatal retinal imaging dataset and developing a foundation model, combining data curation with model development.

The post is on a fixed-term contract, offering hybrid work in London and a pathway to impact in clinical research. The successful candidate will hold a PhD, have strong experience in AI for healthcare or imaging, and

Qualifications

• PhD in a relevant topic, such as computer science or a related field.
• Experience in AI for healthcare or medical imaging.
• Development, training and fine-tuning of deep learning models.
• Experience with large-scale imaging datasets and data curation.
• Strong publication record in relevant journals.

Responsibilities

• Lead the creation of a large, diverse neonatal retinal imaging dataset.
• Develop a self-supervised foundation model for neonatal retinal images.
• Collaborate across teams to advance translational medical AI research.

Skills

AI for healthcare

Deep learning

Medical imaging

Education

PhD

Tools

Python

Job description

UCL Institute of Ophthalmology invites applications for a Research Fellow to advance medical AI in paediatric ophthalmology. The role focuses on building a large neonatal retinal imaging dataset and developing a foundation model, combining data curation with model development.

The post is on a fixed-term contract, offering hybrid work in London and a pathway to impact in clinical research. The successful candidate will hold a PhD, have strong experience in AI for healthcare or imaging, and