R&D Engineer Internship: Computer vision / data science M/F

Key Skills

Aartificial intelligence, Computer Vision (CV), Data science techniques, Image processing, Keras software library, Machine learning techniques, Python Programming, PyTorch

Job Description

As part of a Research and Development project, carried out in collaboration with the CReSTIC laboratory of the University of Reims and the Champagne Committee, you will work on the design of innovative solutions for dynamic classification. These solutions must be able to be integrated into a hierarchical approach to detecting vine diseases already proposed as part of a doctoral thesis.

This internship aims to improve the capacity for domain change using GANs . Different generator and discriminator architectures will have to be tested for comparison and choice of this architecture.

The envisaged approach is as follows:

• Bibliographic search
• Search for existing solutions
• Testing and selection of generators and discriminators
• Validation of the relevance of the approach on a pre-existing network
• Improvement of the robustness of the solution

Under direct agreement with the CReSTIC laboratory , you will be welcomed within this same laboratory. You will be required to travel and present the progress of its work to the project partners, in particular to the SEGULA agency in Reims.

Qualifications

Bac+5 training , with a specialization in Machine Learning / Artificial Intelligence / Computer Vision .

You have knowledge of image processing and master the Python language , as well as Keras and PyTorch .

A first experience with GANs would be a plus.

Autonomous, dynamic, rigorous and passionate, you are proactive, this internship is for you!!!