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Open PhD Position in Computer Vision/Deep Learning for Healthcare Sponsored by Intuitive Surgical

The operating room is a high-tech environment in which the surgical devices generate 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 a new PhD position at the University of Strasbourg that will focus on developing machine learning and computer vision methods to understand the scene of the operating room, recognize the human activities, and analyze the workflow. The project will use as input multi-view RGB-D videos capturing surgical activities.

As this PhD position is funded by a fellowship from Intuitive Surgical, the successful candidate will have the opportunity to interact with researchers from Intuitive Surgical and also to conduct internships at the company in Sunnyvale, California.

More information is available here

Post-doctoral position in Computer Vision and Medical Robotics

Overview: The ICube laboratory wish to hire a post-doctoral fellow for 18 months for working on the combination of robotics and computer vision in the field of robotics flexible endoscopy. We are looking for a researcher with a PhD (or soon to be obtained) in robotics or computer vision who is motivated to work in the field of continuum robots for medical applications.

Keywords: Continuum robots, Vision-based control, Flexible endoscopy, Optical Coherence Tomography (OCT), Tumor margins assessment.

Position in details

The ICube laboratory is seeking a post-doctoral fellow for carrying research in the field of computer vision for medical robotics.

The work will take place in the scope of the ROBOT project, which aims at developing new devices and tools combining robotics and Optical Coherence Tomography (OCT) for improving standard of care for cancers in the digestive tract.

The project of the post-doctoral fellow will focus on developing tools for assisting surgeons in assessing margins by automatically scanning a specified area with an OCT probe. Defining correct margins for tumors removal is a key element of minimally invasive cancer treatment in the digestive tract. OCT images can be used for this purpose; however, it proves very difficult for surgeons to precisely and completely define the area to be treated because of manipulation issues and difficulties to make sense of the acquired data. In the scope of robot-assisted flexible endoscopy we want to explore the possibility to automatically scan the right area.

For this purpose, a flexible robotic platform and a motorized OCT probe developed at the ICube laboratory will be used. The tasks to be carried out by the post-doctoral fellow will concern the development of original techniques by combining sensing methods relying on endoscopic images and OCT images and control schemes for driving robotic motions in order to realize precise movements and to ensure the correct scanning of the specified area. Challenges include: physiological motions, tissues deformation, complex behavior of the continuum instruments and difficult conditions for computer vision.

Candidate profile   We are looking for a highly motivated researcher with significant experience in computer vision and / or robotics control who wishes to enroll (or continue) in the exciting fields of continuum robots and computer-assisted medical interventions. Knowledge of continuum robots or medical applications or of OCT would be beneficial but are not mandatory. Mechatronic background / knowledge can also be valued in the scope of the project.

A Doctoral degree is mandatory at the time of starting the fellowship.


Proficiency in one high-level programming language such as C / C++ or Python is required. Knowledge of OpenCV will be appreciated. Note that speaking French is not required. In this case B2 level in English will be necessary.

Work environment

The post-doctoral fellow will be integrated in the Control, Vison and Robotics (AVR) team of the ICube laboratory. Medical continuum robots and OCT are key themes of the laboratory, with several on-going projects and more to start shortly. The post-doctoral fellow will join an international team of people working in flexible endoscopy and OCT. The team has a long-standing and fruitful experience in the development of robotic flexible endoscopy and clinical translation of medical devices including OCT.

The work will take place at the medical robotic platform of the ICube laboratory, located at the IRCAD, a world-renowned institute for research on cancer treatment. The place is located at the University hospital in the center of Strasbourg.

Strasbourg is a vibrant town in the east of France, close to Germany. The University of Strasbourg is one of the most important Universities in France.


The project is supported by the INSERM (French Institute for health) through the « Plan Physics for Cancer » (project ROBOT) and a funding is provided for 18 months. Monthly gross salary is about 2500 Euros.

Application Applications are accepted from now on. The call is open until fulfillment of the position.

For applying send the following supporting material Florent Nageotte, :

  • CV
  • Motivation letter (please specify your current position and earliest availability date)
  • Name and contact of at least 2 referees
  • Copies of up to 3 relevant publications

Interviews with the candidates will be organized on the fly upon reception of their application.


Contact for additional information: Florent Nageotte,

Ph.D. positions in Magnetic Resonance Imaging -- MR Elastography and Thermometry for the monitoring of thermal ablations

The interventional MRI group is looking for a skilled PhD candidate in MR Physics with a background in wave mechanics, on the following subject: MRI monitoring of temperature and mechanical properties during thermal ablations

Strasbourg hospital is a leading center in clinical interventional MRI. Our teal has a strong collaboration with Siemens Healthineers in interventional MRI. We have access to state-of-the art 1.5T interventional MRI scanners for clinical and preclinical studies, equipped with MR compatible Hifu and cryoablation systems.

Detailed project and contact information can be found HERE File:PhD_MRE_MRT_StiffTissue_final.pdf

Open Internship Positions within Project CAMMA

We are looking for motivated and talented students with knowledge in computer vision, machine learning and/or augmented reality who can contribute to the development of our computer vision system for the operating room.

Please feel free to contact Nicolas Padoy if you are interested to do your master's thesis or an internship with us (funding of ~500Euros/month will be provided during 4 to 6 months). The successful candidates will be part of a dynamic and international research group hosted within the IRCAD institute at the University Hospital of Strasbourg. They will thereby have direct contact with clinicians, industrial partners and also have access to an exceptional research environment. The CAMMA project is supported by the laboratory of excellence CAMI, the IdEx Unistra and the MixSurg Institute.


  • Deep Learning for Activity Recognition in Large Video Databases
  • Multi-view Human Body Tracking for the Operating Room using RGBD Cameras

More information about CAMMA


Open Postdoc/Research Engineer Position in Computer Vision/Deep Learning within Project CAMMA

We are looking for a research engineer in Computer Vision/deep Learning to join the development of our clinical prototypes. The project involves the perception of the Operating Room through a set of RGB-D cameras mounted on the ceiling as well as the recognition of surgical activities using both RGB-D and endoscopic videos. More information is available here.

Ph.D. positions in Surgical Robotics -- autonomous intraluminal surgery

The ATLAS project is a Marie Curie ITN-EJD (Innovative Training Network – European Joint Doctorate). The project is coordinated by KU Leuven, with partners in France (ICube laborataory), Italy, Netherlands, and Spain. Within this scheme, 15 Ph.D. positions are funded. We are looking for candidates in the following areas :

  • lumen reconstruction and lumen modelling,
  • sensor technology for intraluminal perception,
  • actuation technology for continuum robots,
  • distributed control and decision making for autonomous continuum robots.

Interested candidates will find detailed informations on the project website :

Please note that specific conditions apply for candidates, see the following webpage for details :

The first round of applications will close on January 15, 2019.