Scientific Programmer or computer scientist

We are looking for two enthusiastic computer scientists with lots of natural curiosity to join our Eye-Epi research group at Depts. Ophthalmology & Epidemiology of Erasmus MC. We are a team of scientists, engineers, and clinicians who investigate causes and risk profiles of eye diseases, and develop innovative, automated, and technologically advanced solutions for eye health through integration of predictive models and analytical insight. We have one of Europe's largest and most comprehensive datasets on eye diseases which includes multimodal imaging, genetics, lifestyle factors, and blood biomarkers, and have close collaboration with international consortia.

Tasks and Responsibilities:

• You will develop a software infrastructure and applications to support scientific projects, including implementation of image processing and machine learning algorithms, user interfaces for collection and visualization of data and scripts for data curation.
• You will be involved in our mission to create deep learning algorithms for automated detection of eye pathology on multimodal images, and to integrate image features with other determinants for prediction of the disease course.
• You will be part of a large multi-disciplinary team and will have close collaboration with different types of users, scientists, and clinicians to optimize clinical translation of developed applications.
• Job responsibilities are flexible depending on the skill sets and interest of the candidate.

A healthy population and excellence in healthcare through research and education. This is what Erasmus MC stands for. Conducting groundbreaking work, pushing boundaries and leading the way. In research, education, and healthcare. We are practical people with a high level of expertise, working hard to improve and renew the healthcare of today and the public health of tomorrow.

At Eye-Epi, you will be part of a large multi-disciplinary team and will have close collaboration with scientists, clinicians, image analysts, and computer scientists. We have a strong track-record in ophthalmic epidemiology and pioneered in retinal image classification. In recent years we expanded our research interests to AI-assisted image analysis and omnics. The Eye-Epi group has 30 employees of which ten focus on image analysis and AI development. We created one of the largest European longitudinal datasets of multi-modal retinal images that have been collected throughout the Rotterdam Study since 1990, combined with other data such as genetics.