Virtual assistant for shoulder arthroscopy

Université Sorbonne Paris Nord, France

Updated: 6 days ago
Location: Villetaneuse, LE DE FRANCE
Job Type: FullTime
Deadline: 01 Feb 2026

22 Jan 2026
Job Information
Organisation/Company

Université Sorbonne Paris Nord
Research Field

Computer science » Informatics
Researcher Profile

Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)
Application Deadline

1 Feb 2026 - 00:00 (UTC)
Country

France
Type of Contract

Temporary
Job Status

Full-time
Offer Starting Date

1 Feb 2026
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Research engineer in AI for health
The shoulder is a complex joint stabilized by multiple bones, tendons and ligaments. An injury to any of these structures can have a disabling effect and produce significant pain in the patient. When pain medications and physical therapy no longer relieve pain or improve function, surgical treatment with arthroscopic surgery is required.
Arthroscopy [DeMarinis2024, Levin2024] is a surgical procedure used to diagnose and treat, among other things, problems of the shoulder joint. It allows the surgeon to examine the inside of it using a small camera (arthroscope) inserted through a small incision.
Recent advances in Deep Learning [LeCun2005] make it possible to study approaches based on neural networks to solve complex problems. These networks are resource intensive, often making them difficult to deploy for real-time analytics on interactive devices. This thesis focuses on five scientific challenges:
- Analyze the quality of the video and images captured during the examination;
- Identify, using a supervised learning method, the different tissues that make up the shoulder and which appear on the arthroscope image;
- Learn to differentiate healthy tissues from diseased tissues;
- Take part in the production deployment of the solution on an arthroscopy column;
- Evaluate and validate the model during the different phases of the process.
Advances in Artificial Intelligence now make it possible to consider a virtual assistant to help young surgeons learn, understand and perform shoulder injury surgeries.Laboratory:
La Maison des Sciences Numériques
Field of research:IA, Health, Deep Learning, Vision
Skills :Programming, Research
Knowledge :IA, Deep Learning, Python


Where to apply
Website
https://rubis.univ-spn.fr/offres/voir/206

Requirements
Specific Requirements

Be a graduate of an Engineering course or a Master 2 in computer science with an Artificial Intelligence focus and demonstrate an excellent academic profile.
Have initial experience (which may have been acquired during training) in video processing using AI and deep learning.


Additional Information
Work Location(s)
Number of offers available
1
Company/Institute
Université Sorbonne Paris Nord
Country
France
City
Villetaneuse
Postal Code
93430
Street
99, avenue Jean-Baptiste Clément
Geofield


Contact
Website

https://www.univ-spn.fr/

STATUS: EXPIRED

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