Postdoctoral Position in Computer Vision/Artificial Intelligence for Healthcare
AI Methods for the Automated Assessment of Critical Safety Steps in Surgery
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. A core component of such an AI assistance system is the recognition of the surgical activities performed by clinicians and staff.
This postdoctoral fellowship will focus on developing novel methods to analyse endoscopic video, with the objective to use AI to perform the automated assessment of critical safety steps during the performance of surgeries. The successful candidate will work on this project with a team of PhD students, engineers and clinicians, help supervise the research, and develop novel methods to scale up recognition methods on endospic videos via self-supervision and federated learning. He/She will also work towards providing explainability to the clinical users.
To carry out this work, the successful candidate will have access to a unique database of videos stemming from several clinical institutions and also have the possibility to interact with highly motivated clinicians.
Requirements:
- PhD in Computer Science or equivalent
- C++/Python programming skills
- Strong knowledge and experience in computer vision, machine learning and deep learning
- Proficiency in English (oral and written)
- Experience with clinical applications/endoscopic videos is a plus, but not mandatory
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 be hosted within the AI team of 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 state-of-the-art computing resources and unique clinical facilities. This post-doctoral fellowship is funded by project AI4ORSafety, one of the 43 French national Chairs in Artificial Intelligence.
Benefits:
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
To Apply:
Please send a long CV, motivation letter and list of publications to Nicolas Padoy.
Links:
ICube laboratory
IRCAD Institute
IHU MixSurg Institute
Laboratory of excellence CAMI