Department: Lab for Ophthalmic Image Analysis (OPTIMA)
We are seeking exceptionally motivated postdoc computer scientists to strengthen our interdisciplinary retinal image analysis team. You will be leading exciting projects at the interface of engineering and medicine.
The focus of the research project is on automated characterization of retinal pathology from 3D OCT images of human retina, and on learning and predicting patient-specific disease progression from very large-scale multimodal imaging and non-imaging data.
The successful candidate will be immersed into an interdisciplinary environment working closely with a team of computer scientists, software engineers and medical doctors.
Advancements will have a real world impact on clinical management of patients suffering from macular diseases, a leading cause of blindness today
PhD degree (or soon to be completed) in a relevant discipline (computer science, applied mathematics or related field)
Strong background in machine and deep learning, computer vision or medical image analysis
Excellent analytical, interpersonal, as well as written and oral communication skills in English are essential
Your cover letter with a summary of your previous and present scientific activities and your motivations
The 2 most significant publications
Contact information of three references
Please send applications to: hrvoje.bogunovic (at) meduniwien.ac.at
Laboratory for Ophthalmic Image Analysis (OPTIMA) is an interdisciplinary research lab composed of retinal specialists, computer scientists and software engineers, developing innovative image analysis methods for precision medicine in retinal disease. Our research focus lies on the quantitative analysis of state-of-the-art ophthalmic imaging data, in particular OCT, and the development of prognostic disease models for improved patient management in leading eye diseases.
The lab has access to extremely large sets of ophthalmic images and is well-equipped with a dedicated high-performance computing cluster containing the latest generation GPUs.
The group keeps close collaboration with several high-performance academic research institutions, as well as partnership with imaging device and pharmaceutical companies.