Postdoc: Deep Learning for Superresolution Microscopy
Postdoc: Deep Learning for Superresolution Microscopy
Max F. Perutz Laboratories
Vienna, Austria
About the position
The overall aim of the project is to develop a computational approach to reconstruct the structure and dynamics of a cellular process at nanometer resolution from tens of thousands of images measured in fixed cells. We will develop this approach on the example of endocytosis, an essential process by which cells take up molecules, but this method will then be applicable to many other cellular processes. You will have abundant data readily available and work closely together with a biologist in the group who will capture new data on demand, and with a computational scientist from our partner lab, the Lab of Jakob Macke in Tübingen. This project will extend previous work based on maximum likelihood estimation.
Candidates
We are looking for a talented, highly motivated postdoctoral scientist who is excited to develop computational approaches with wide applicability in the life sciences. You should hold a PhD degree in computer science or physics and should have a strong background in machine learning, preferably deep learning. Experience in computer vision or image analysis, especially microscopy images, is highly appreciated. Training and supervision will be provided throughout the project, but we also expect a high level of drive and independence. Excellent spoken and written English skills are required.
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