18 Feb 2024
Job Information
- Organisation/Company
University of Strasbourg - ICUBE Laboratory (UMR7357)- Research Field
Computer science- Researcher Profile
First Stage Researcher (R1)- Country
France- Application Deadline
15 Mar 2024 - 23:59 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Is the job funded through the EU Research Framework Programme?
HE / ERC- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Interested in doing cutting edge research in computer vision/machine learning and in developing foundation models for surgery ?
We have several PhD positions open in the CAMMA research group, Strasbourg, France. They aim to develop novel computer vision/artificial intelligence approaches to analyze surgical activities in videos at scale using large language/video models, semantic graph modeling, self-supervised learning, and/or federated learning.
The research will be carried out with top-notch international clinical collaborators and result in novel video modeling methods that can transform surgical practices and surgical safety.
All positions are either fully funded by the ERC Consolidator project CompSURG or by the Franco-German project DAIOR.
http://camma.u-strasbg.fr/opportunities
Requirements
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
Skills/Qualifications
Requirements for PhD students:
- Master's in Computer Science or equivalent
- Strong python programming skills
- Strong knowledge in computer vision and machine learning
- Proficiency in English (oral and written)
- Experience with Deep Learning, Natural Language Processing and multi-modality learning on video & text data is a plus
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
- Website for additional job details
http://camma.u-strasbg.fr/opportunities
Work Location(s)
- Number of offers available
- 3
- Company/Institute
- CAMMA Research Group
- Country
- France
- Geofield
Where to apply
[email protected]
Contact
- City
Strasbourg- Website
http://camma.u-strasbg.fr
STATUS: EXPIRED