Title:Postdoc in deep learning for histopathological image analysis
Posted: September 6, 2016
Company/Institution: KTH Royal Institute of Technology
Location: Stockholm, Sweden
Description: Job description:
This position is part of a collaboration with pathologists from the Karolinska University Hospital. The main task will be to develop novel computational methods to analyze histopathological images of breast cancer tissue from the Karolinska tissue biobank. The successful applicant will develop methods to recognize and categorize morphological growth patterns of cancer cells within histopathological images. The goal is to find correlations between these growth patterns and patient outcome. If successful, these patterns may serve as powerful predictors for patient treatment. One of the main responsibilities of the position will be to develop convolutional neural networks (CNN) and statistical methods capable of recognizing and categorizing morphological patterns from tissue image data.
Candidates must have a PhD in computer science, computational science, or a related field and proven experiences in implementing, analyzing, and optimizing scientific applications for image analysis. Good knowledge of standard computer vision techniques and a deep learning framework (Theano, Tensorflow, Caffe, Torch) is required. Programming knowledge of a related scientific computing language (R, Matlab, Python, Lua, C++) is also required. Experience with parallel programming environments and cloud computing is a plus. Previous experience working with medical or biological images is also desirable.
About KTH and Science for Life Laboratory:
KTH Royal Institute of Technology in Stockholm (www.kth.se) is one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history and philosophy. The position will be formally placed with the department for Computational Science and Technology (CST) at KTH (https://www.kth.se/en/csc/forskning/cst), but work will be carried out at the Science for Life Laboratory (www.scilifelab.se).
The Science for Life Laboratory (SciLifeLab) is a collaboration between four universities in Stockholm and Uppsala: Karolinska Institutet, KTH, Stockholm University and Uppsala University. It combines advanced technology with broad knowledge in translational medicine and molecular life sciences. Since 2013, SciLifeLab has a mission from the Swedish government to run infrastructure to support researchers nationally and to be an internationally leading center for large-scale analyses in molecular life sciences targeting research in health and environment.