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Stage Artifical intelligence / machine learning for image processing

Job ID 10174 Pessac, Nouvelle-Aquitaine, France;
Internship
Solvay is a science company whose technologies bring benefits to many aspects of daily life. With more than 24,100 employees in 64 countries, Solvay bonds people, ideas and elements to reinvent progress. The Group seeks to create sustainable shared value for all, notably through its Solvay One Planet plan crafted around three pillars: protecting the climate, preserving resources and fostering better life. The Group’s innovative solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices, health care applications, water and air purification systems. Founded in 1863, Solvay today ranks among the world’s top three companies for the vast majority of its activities and delivered net sales of €10.2 billion in 2019. Solvay is listed on Euronext Brussels (SOLB) and Paris and in the United States, where its shares (SOLVY) are traded through a Level I ADR program. The Research & Innovation function (R&I) leads Solvay into new growth territories with breakthrough innovation to generate new products, applications and processes in the field of sustainable chemistry. Partners with the GBUs to deliver more value and leverages the Group’s capabilities to improve competitiveness and create new business opportunities for Solvay and its customers.

Job Overview and Responsibilities:

The Solvay Laboratoire du Futur (LOF) at Pessac near Bordeaux is dedicated to speeding up the research at Solvay which is a big chemistry group. One method to achieve this is high throughput (HT) screening using automated workflows either with commercial robots or developed in house coupled with automated data analysis. In this context we have been using classical image acquisition and processing for fully automated quantitative data analysis for many different applications for more than 15 years now. One important step in image analysis is segmentation where each pixel of an image is classified as either background or belonging to a certain class. Proper segmentation is crucial for further image processing and with classical methods if often only achieved using an optimized set of preprocessing parameters that work well for a certain scenario, but may be less adapted or fail altogether for (often only) slightly different scenarios.

Our aim is now to make the step from classical to AI supported image processing using our large number of properly segmented images as a training sets for machine learning. For each new application we can also quickly create new training sets.

We are hence looking for a candidate with experience in machine learning in general who wants to apply AI methods to improve image processing in a range of very different application fields.




Education and Experience:

The candidate will become part of a small but dedicated team of engineers and developers whose mission is to provide customized automation and analysis solutions for in house projects as well as projects for other business units of the Solvay group. Apart from a solid technical and scientific background, we are looking for curious and creative candidates with a strong motivation for interdisciplinary research in a multicultural environment.




Skills:

This internship is an opportunity to discover an industrial project in an applied research environment.


Internship duration and level: 5 month, master level


Start and end of internship: can be negotiated


Required skills: programming experience with AI in Matlab and/or python, experience in image processing is a plus but not obligatory




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