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PhD Positions in Computer Vision/Deep Learning for Healthcare

camma – Posted on October 8, 2017 at 11:29 am –


PhD Positions in Computer Vision/Deep Learning for Healthcare @ University of Strasbourg, France

Overview:
The operating room is a high-tech environment in which the equipment
generates a lot of data about the underlying surgical activities. Our
research group aims at making use of this large amount of multi-modal
data coming from both cameras and surgical devices to develop an
artificial intelligence system that can assist clinicians and staff in
the surgical workflow. In this context, we currently have open PhD
positions that will focus on developing new machine learning and
computer vision methods to detect, recognize and analyze human
activities. The successful candidates will have the rare opportunity to
apply their work on large RGB-D and endoscopic video datasets captured
during real procedures using the state-of-the-art facilities of our
clinical partners. If interested, they will also have the exceptional
possibility to collaborate with engineers and clinicians to implement
real-time clinical demonstrators of their research, thereby contributing
to the development of real-world AI-based solutions for the OR.

More information about our research is available on our website:

http://camma.u-strasbg.fr/

http://camma.u-strasbg.fr/videos

http://camma.u-strasbg.fr/facilities

http://camma.u-strasbg.fr/publications

Requirements:

  • Strong C++ programming skills
  • Strong knowledge in computer vision and machine learning
  • Proficiency in English (oral and written)
  • Experience in Deep Learning or GPGPU programming is a plus

Environment:
The position is located in Strasbourg, France. Strasbourg is a lively,
green and cosmopolitan city situated in the heart of Europe and is also
home to the European parliament. The successful candidate will work with
the research group CAMMA and be hosted within the IRCAD institute at
the University Hospital of Strasbourg. He/She will thereby have direct
contact with clinicians, industrial partners and also have access to an
exceptional international research environment offering unique clinical
facilities.

Benefits:
CuttingĀ­-edge research in an interdisciplinary and leading international research environment
Ability to work at the forefront of a rapidly growing field at the
intersection of computer science, artificial intelligence and medicine

Supervisor:
Nicolas Padoy, PhD, Assistant Professor, holder of a Chair of Excellence at University of Strasbourg

Contact:
To apply, please send a long CV, motivation letter and academic
transcripts to Nicolas Padoy. Both positions will be open until suitable
candidates are found.


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