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Pierre Jannin

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Postdoctoral Position: Surgical Data Science for Women’s Health University of Rennes in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Jan 31, 2027

Country flag

Country

France

University

rennes university

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Keywords

Computer Science
Data Science
Biomedical Engineering
Medical Imaging
Deep Learning
Computer Vision
Medical Science
Surgical Robotics
Multimodal Analysis
Statistics

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About this position

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.

Funding details

Available

What's required

A PhD in Computer Science or a related field is required. Candidates should have expert-level proficiency in deep learning and computer vision, proven experience in multimodal data analysis, and strong English; good French is also required. Publications in surgical video analysis or medical imaging are preferred.

How to apply

Send a detailed CV, letter of motivation, full publication list, description of previous research projects, and referee contact information by email to the listed supervisors. An optional GitHub or equivalent link may also be included.

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Professors

Professor at University of Rennes

University Name
Country flag

France

Research Interests

Medical Imaging

Statistics

Surgical Robotics

Computer Science

Biomedical Engineering