Open Positions: Research Engineers
We are looking for research engineers in medical image analysis / computer assisted interventions / artificial intelligence / federated learning to join the development of our clinical prototypes aiming at assisting clinicians during image-guided interventions. A better idea of our research can be obtained from the illustrative videos below:
Deep Learning for the Live Analysis of Endoscopic Procedures:
Computer Vision and Augmented Reality for X-ray Monitoring:
Human Body Tracking in the Operating Room using RGB-D Data:
We are looking for candidates interested to contribute to the development of the demonstration prototypes and to their introduction into a hybrid operating room at IHU Strasbourg, a novel surgical institute with brand new facilities. For these positions, proficiency in English is mandatory since the development of the prototypes will involve communication with the clinical and industrial partners of the project.
- Master in Computer Science or equivalent. PhD is welcome but not mandatory
- Strong programming skills with experience in either medical image registration/segmentation, surgical navigation, artificial intelligence or federated learning
- Proficiency in English (oral and written)
- Knowledge/experience in Deep Learning is a plus
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 will be hosted within the IHU 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.
The positions will be open until excellent candidates are found. The net salary is competitive and concomitant with prior experience. To apply, please send a long CV and a motivation letter describing your experience in computer vision and machine learning to Nicolas Padoy.