This large-scale recruitment drive is being conducted through the Paris School of AI, an educational institution backed by the scientific excellence of PR[AI]RIE-PSAI.
This fantastic opportunity allows you to participate in a comprehensive training program, covering all levels of university studies (Bachelor’s, Master’s, and Doctorate) for both specialists in Artificial Intelligence and non-specialists (AI+X), in initial and continuing education programs.
The courses, taught in French or English, are designed for both initial and continuing education. This high-level program benefits from a strategic and ongoing partnership with the PR[AI]RIE-PSAI AI Cluster, ensuring that the training programs maintain a direct link with the latest advances in global research.
The curriculum emphasizes both theoretical foundations and practical applications.
The expected teaching workload is 80 hours of lectures per year (equivalent to 120 hours of tutorials).
Informations – Recherche
PRAIRIE-PSAI
PSL University offers an exceptional environment for research in data science and artificial intelligence. Joining PSL University means taking part in a research dynamic of the highest international level, whether in the core fields of AI (mathematics or computer science) or in application fields (physics, astrophysics, chemistry, life sciences, cognitive sciences, social sciences and humanities, etc.).
The research activities of those recruited will have to fit in with the activities of PRAIRIE-PSAI within PSL University, so candidates are invited to put forward suggestions for insertion in existing PR[AI]RIE-PSAI research groups. A letter of support from a team willing to welcome the candidate is a plus but is not obligatory.
Jury members may also make suggestions to candidates.
Skills
Minimal education level: PhD.
Required field(s) of studies: Core areas of AI (mathematics or computer science) or application areas (physics, astrophysics, chemistry, life sciences, cognitive sciences, etc.).
Minimum level of experience required: post-doctoral fellow
Language requirements: English, C1-C2 CECRL level
