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.

Relevant master degree with excellent grades in one of the following fields: biomedical engineering, computer science, mathematics or physics

Strong interest in image analysis, machine learning or computer vision

Excellent programming skills

Good communications skills and fluency in written and spoken English

Ability and interest to work in a team

The following experience will be considered a significant advantage:

Participation in machine learning or image analysis challenges

Contribution to open source projects

We offer:

A challenging job at a dynamic and ambitious University and in an enthusiastic team.

An appointment (1 fte) as a PhD-student for four years, starting date: as soon as possible.

Additional education at PhD level is offered (DISC)

Gross monthly salaries are in accordance with the Collective Labour Agreement of the Dutch Universities (CAO NU), increasing from € 2222 per month initially, to € 2840 in the fourth year.

An attractive package of fringe benefits, including excellent work facilities, end of the year allowance, travel to conferences and sport facilities.