Université Paris-Saclay Doctoral Programme in Artificial Intelligence – UDOPIA
UDOPIA
The doctoral program in Artificial Intelligence of Université Paris-Saclay<br />The UDOPIA PhD programme builds on the extensive strengths of the University of Paris-Saclay in AI and related fields to create a unique cohort of PhD students trained at the forefront of core AI topics, specialised AI topics and AI applications. The students come from a rich ecosystem with strong links to industry, and existing instruments such as the DataIa convergence institute in AI or the SaclayIA computing platform will foster interdisciplinarity, mobility, entrepreneurship, and broad di?usion of research results to universities, industry, and the general public
General objectives and main issues
Research in AI at UPSaclay focuses on fundamental issues related to AI, machine learning and data science, as well as on their operational applications in engineering, health and the environment, to name a few.<br />First circle: Basic AI and Data Science<br />UPSaclay covers a wide range of fundamental topics in AI, especially around Machine Learning, and more generally in Data Science.<br />Second circle: Specialized Machine Learning ML and AI<br />Third circle: Application domains.<br />Based on the first two circles, AI research at Paris-Saclay address applications in the four national priorities, with a particular focus on Health and well-being on the one hand, and the environment on the other.
The UDOPIA doctoral program in Artificial Intelligence will build on the extensive forces of Université Paris-Saclay in AI and related areas to create a unique cohort of PhD students trained at the forefront of core AI topics, specialized AI topics, and applications of AI. The students will benefit from a rich ecosystem with strong links to industry, and from the existing instruments such as the DataIa convergence institute in AI or the SaclayIA computing platform. Specific accompanying measures will foster interdisciplinarity, mobility, entrepreneurship, and the wide diffusion of research results to academia, industry and the general public.
Project coordination
sylvie pommier (Université Paris-Saclay (Maison du Doctorat))
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
Partnership
UPSaclay Université Paris-Saclay (Maison du Doctorat)
Help of the ANR 1,800,000 euros
Beginning and duration of the scientific project:
August 2020
- 60 Months