Ioanna Manolescu
ioana.manolescu@inria.fr
Jesse Read
jesse.read@polytechnique.edu
The Research Internships in Data Science addresses a wide set of issues that illustrate the importance and diversity of modern research in Artificial Intelligence, Machine Learning and Big Data. These questions take the form of both theoretical but also applied research problems to which the students can sometimes bring innovative solutions bearing a strong scientific and technological aspect.
The proposed internships originate from a variety of national and international academic and industrial labs and reflect their real needs. The topics covered in this context range from Big and distributed data management, advanced and scalable machine/deep/reinforcement learning methods and general AI methods with applications to different domains including biomedical, scientific data, online retail/advertising, industrial optimization, energy etc.
Students aiming to improve their research skills, will gain the required knowledge and experience in a specific research domain and they will discover the workflow of researchlaboratories. Students attracted by a career in industry, will be familiarized with the way research is deployed at large scale and how it produces added value. This internship will be a great opportunity for some of the students that opt for a doctoral degree which is often a requirement for a fruitful career in the industry.
Required level:
Master M1 in Computer Science or equivalent.
Means of evaluation:
The students will produce a thesis report that will be presented to a jury at the end of their
internship period.
