Pierre Jannin

The MediCIS team at the LTSI research unit of the University of Rennes is offering a one-year funded postdoctoral position in the international i-SaferS project, carried out in collaboration with the Chinese University of Hong Kong. The project addresses surgical data science for women’s health , with a focus on developing data- and model-based AI methods to automatically assess surgical contexts during robot-assisted hysterectomies. The work will use high-fidelity data produced by surgical robotic systems and aims to support automated assessment of surgical quality across different phases of an operation. The postdoctoral researcher will work on multimodal analysis of video and kinematic data, design and compare deep learning approaches for real-time quality estimation, and develop hybrid modelling strategies that combine learning-based methods with prior model knowledge. A further part of the work concerns uncertainty quantification using Bayesian frameworks. The position is embedded in the MediCIS/LTSI environment, described as a multidisciplinary setting where engineers and clinicians collaborate on socially relevant research projects. The team emphasises responsible research and explicitly highlights social, environmental, and ethical considerations. The project also involves collaboration with international surgeons to help refine and formalise the notion of surgical quality for this application.