Open 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. In this context, we currently have several PhD positions that will focus on developing new machine learning and computer vision methods to detect, recognize and analyze human activities from vast amounts of surgical videos.
Two Open Positions in European Project ATLAS (AuTonomous intraLuminAl Surgery)
The first position (ESR 8) targets the development of computer vision and deep learning approaches for the modeling and recognition of tool tissue interactions during robotic surgery. This is a project in collaboration with Giancarlo Ferrigno at university Politecnico di Milano.
The second position (ESR 9) targets the development of computer vision and deep learning approaches for the recognition of the surgical steps using information stemming from an endoscopic camera and additional sensors. This is a project in collaboration with Diego Dall’ Alba at the University of Verona.
The successful candidates will have the rare opportunity to apply their work on large video datasets captured during real procedures using the state-of-the-art facilities of our clinical partners. If interested, they will also have the 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 the project and positions is available here: https://atlas-itn.eu/
- 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
Please follow the instructions indicated on the ATLAS project website and mention your experience with computer vision and machine learning in your motivation letter (deadline: April 15th, 2019).
[more positions coming soon]