PhD Positions in Computer Vision/Artificial Intelligence for Healthcare
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.
Keywords: deep and reinforcement learning, self- and semi-supervision, human pose estimation, activity recognition, scene recognition
Open Position: Human Activity Analysis in the Operating Room from Multi-view Videos
This position 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. This project will make use of unique multi-view RGB‑D video data capturing the surgical activities.
This PhD position is funded by a fellowship from Intuitive Surgical. As such, the successful candidate will have the exciting opportunity to interact with computer vision researchers from Intuitive Surgical and also to conduct internships at the company in Sunnyvale, California.
- Master in Computer Science or equivalent
- C++/Python programming skills
- Strong knowledge in computer vision and machine learning
- Proficiency in English (oral and written)
- Experience with 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 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.
Cutting-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
Development of real-world AI-based solutions for the operating room
Please send a long CV, motivation letter and academic transcripts to Nicolas Padoy.