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The Computational Image Analysis Lab (CIR) and Vienna Reading Center (VRC) at the Medical University of Vienna, Austria are seeking outstanding candidates for the following position in computer vision research in the field of retinal imaging:

• Post-Doc – Disease Detection in Optical Coherence Tomography (2 years)

Project description: You will work in an exciting, multi-year, government-funded interdisciplinary project at the interface of computer science, engineering and medicine. The project is embedded in a long-standing collaboration among a large group of researchers from computer vision, medical physics and ophthalmology. Participating institutions include VRC, CIR, the Iowa Institute for Biomedical Imaging at the University of Iowa, United States, and the multinational pharmaceutical enterprise,Novartis. The project is being led by a multidisciplinary team of faculty, including Ursula Schmidt-Erfurth, Georg Langs and Milan Sonka.

With regard to computer vision, the project incorporates aspects of image segmentation, image registra­tion (multimodal, temporal, population-wide), and machine learning (semi-supervised learning, unsupervised learning of disease and treatment effect) on an extremely large longitudinal data set of ophthalmic images (>30,000 SD-OCT images). A large workforce of image tracers is able to provide ground truth data.

You as the the successful candidate will be responsible for research in automated disease detection in oph­thalmic image material (2D and 3D).

Your responsibilities:

• Research in segmentation and pattern recogni­tion methodology
• Integration of machine learning approaches to explore and learn from large scale medical imag­ing data
• Publication and presentation of scientific results in top-level conferences and journals

Your profile:

• PhD degree in a relevant discipline with excel­lent academic credentials
• Solid background in (medical) image analysis and/or pattern recognition
• Strong relevant publication record

Candidates are expected to posess strong analytical, problem-solving, organizational and team-playing skills. Excellent English communication skills are required; proficiency in German is beneficial.

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