Advanced Analytical Algorithms Specialist in Ophthalmology

This is a unique opportunity to work on a PhD project that combines explainable AI and medical image analysis. The project focuses on developing advanced analytical algorithms with clear clinical goals.

The successful candidate will work on investigating existing explainability methods for vision models used in ophthalmology, implementing methods and developing new methods for visual and multimodal explanations and user interactions, and evaluating explainability methods in practice with clinical user groups.

As a PhD student on this project, you will be part of a team of researchers, clinicians, and data scientists working on data management and analysis, model development, and model evaluation. You will apply state-of-the-art deep learning methods to the FOREVER dataset, publish findings in academic journals, and present at national and international meetings and conferences.

Key responsibilities include carrying out an independent research project under supervision, completing PhD courses or equivalent education, participating in active research environments, obtaining experience with teaching or dissemination related to the PhD project, teaching undergraduate students at the department, and writing the PhD thesis based on the project.

• Master's degree in a relevant field such as computer science, biomedical engineering, data science, or mathematics.
• Programming experience in Python and hands-on experience with deep learning frameworks such as PyTorch and libraries such as scikit-learn, preferably for image analysis.
• High motivation and innovation, with experience with explainable AI being a plus.
• Excellent writing and communication skills in English, with ability to work in cross-disciplinary teams.