Your role will be at the forefront of tackling complex challenges in the field of ophthalmology. You will develop and apply cutting-edge computational methods, perform in-depth statistical analyses on multimodal medical datasets, and create, implement, and evaluate computational assistance approaches on real-world data.

But your contribution won't stop at research and development. You will also have the unique opportunity to share your findings and insights with our team, fostering a collaborative environment that thrives on innovation.

• You are interested in technology and motivated to tackle challenging tasks
• Currently enrolled in a Master’s degree program of Computer Science, Mathematics, Physics, Engineering, or a related field
• Understanding of computational assistance methods, preferably in the fields of machine learning, deep learning, and computer vision
• Hands-on programming skills in Python
• Experience with common machine learning frameworks such as PyTorch
• Strong conceptual and analytical thinking, technical understanding, and creativity for solving complex problems in a self-organized manner
• Willingness to collaborate and work in complementary teams
• Good communication skills in English and/or German.