AI Research Internship: Hyperspectral Muscle Imaging

Inria; France; Hybrid; EUR 12,000 - 17,000; Part time

Benefits offered by this job

Teleworking possible

Flexible working hours

Professional equipment provided

Social events

Job summary

Inria Saclay Center invites applications for a Master Internship in AI for biological microscopy. The project aims to develop fast, automated methods to extract information from HM-CARS images, combining AI with optimization techniques to characterize muscle diseases from spectral and spatial data.

The successful candidate will join the OPIS project team under supervision of Emilie Chouzenoux and collaborators, using Python and ML frameworks.

Qualifications

• Graduate degree (MSc) or equivalent in AI, ML, or imaging.
• Validated a course in mathematical optimization.
• Strong programming skills in Python.

Responsibilities

• Understand HM-CARS imaging principles and data processing challenges.
• Explore the dataset and implement suitable preprocessing methods.
• Formulate spectral unmixing as an inverse problem and apply proximal optimization.
• Develop supervised learning approaches to exploit spectral and spatial information.
• Evaluate methods for accuracy, robustness, and computation time.
• Write reports and present results.

Skills

Python

PyTorch/TensorFlow

Machine learning

Mathematical optimization

Education

Master's degree

Job description

Inria Saclay Center invites applications for a Master Internship in AI for biological microscopy. The project aims to develop fast, automated methods to extract information from HM-CARS images, combining AI with optimization techniques to characterize muscle diseases from spectral and spatial data.

The successful candidate will join the OPIS project team under supervision of Emilie Chouzenoux and collaborators, using Python and ML frameworks.