Computer vision / data science M/F

Company Description

Accelerate your career within a fast-growing global engineering group. At SEGULA Technologies, you will work on exciting projects and contribute to shaping the future within a company where innovation is inseparable from engineering.

Artificial intelligence, new mobilities, decarbonisation, the factory of the future... mark the daily life of our 13,000 ingenious employees, why not yours?

Next door to you or on the other side of the planet, at SEGULA Technologies you will find the opportunity that will give new meaning to your career!

Job Description

As part of our Research and Development project, conducted in collaboration with the CReSTIC laboratory at the University of Reims and the Champagne Committee, you will work on the design of innovative solutions for dynamic classification. These solutions should be able to integrate into an existing hierarchical approach to vine disease detection.

The aim of this internship is to propose an innovative Continual Learning solution in order to adapt a neural network to variable data. This solution must fit into an already trained neural network.

The steps envisaged for the internship are as follows:

• Literature review
• Research existing solutions
• Modification of the chosen solution according to project constraints
• Adaptation of the existing hierarchical approach to integrate this new component
• Improvement of the robustness of the solution

Qualifications

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

You have knowledge in image processing and mastery of Python language, as well as Keras and .

A first experience in Continual Learning would be a plus.

If you're autonomous, dynamic, rigorous and passionate, with the ability to propose new ideas, join our team with the desire to express your talents!!!

Additional Information

Duration of the internship: At least 5 months

Start of the internship: January-February 2024

SEGULA TECHNOLOGIES is a company committed to diversity and inclusion, we recognise and recruit all talents.