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OPTIMA group (https://optima.meduniwien.ac.at) is seeking an exceptionally motivated postdoc to strengthen our interdisciplinary team working on deep learning for medical image analysis. As part of our new initiative on Artificial Intelligence in Retina you will be leading exciting projects, at the interface of computer science and medicine. The focus of the research is on automated characterization of retinal pathology from 3D optical coherence tomography (OCT) images of human eye, and on learning to predict patient-specific disease progression from very large-scale curated imaging data and electronic health records. The goal is to build an effective AI-based clinical decision support for retinal specialist, in a close collaboration with a leading OCT device company.
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 retinal diseases, a leading cause of blindness today.
How to apply
Applicants with an excellent academic record, interested in machine learning for healthcare should send an email with their CV and a cover letter indicating their interests and research experience, and/or any inquiries to Hrvoje Bogunović (firstname.lastname@example.org).
Female candidates are explicitly encouraged to apply!
Salary is prescribed by the university wage agreement, and it is €56k/year (brutto).
OPTIMA is an interdisciplinary research lab composed of retinal specialists, computer scientists and software engineers, developing innovative image analysis methods for personalized 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 world-class academic research institutions, as well as partnerships with imaging device and pharmaceutical companies.