Two PhD Students in Deep Learning for Medical Image Analysis Eindhoven University of Technology, Department of Biomedical Engineering
Two PhD Students in Deep Learning for Medical Image Analysis (V50.2911)
Two PhD Students in Deep Learning for Medical Image Analysis The Medical Image Analysis Group (IMAG/e) at Eindhoven University of Technology is looking for candidates for two open PhD positions in deep learning for medical image analysis. The positions are embedded in a large consortium of Dutch medical image analysis and machine learning research groups, university medical centers and industry. The goal of the consortium is to achieve breakthroughs in medical image analysis using deep learning as the underlying technology.
Position
PhD-student
Departments
Department of Biomedical Engineering
FTE
1,0
Date off
15/05/2017
Reference number
V50.2911
Apply now
Job description
The Medical Image Analysis Group (IMAG/e) at Eindhoven University of Technology is looking for candidates for two open PhD positions in deep learning for medical image analysis. The positions are embedded in a large consortium of Dutch medical image analysis and machine learning research groups, university medical centers and industry. The goal of the consortium is to achieve breakthroughs in medical image analysis using deep learning as the underlying technology.
In the course of their work, the PhD students will develop deep learning methods that work with weakly labeled medical image data. The results from this work will make it possible to efficiently use medical expert knowledge, and take advantage of the large amounts of available data in medical image archives. The developed methods will be applied for cancer prognostication from histopathology images and early detection of disease from retina images. The work will be performed in close collaboration with medical (UMC Utrecht, Maastricht UMC) and industry (Philips Research) partners.
Job requirements
The following experience will be considered a significant advantage:
Conditions of employment
We offer:
Information and application
The application contains, at least:
Screening of applications will start as soon as applications are received and will continue until the position has been filled.
Additional information
|