Job offer

The expected teaching workload is 80 hours of lectures per year (equivalent to 120 hours of tutorials).

Organisation/Company Université PSL

Research Field Technology » Information technology

Researcher Profile First Stage Researcher (R1)

Positions PhD Positions

Application Deadline 11 Apr 2026 - 13:00 (Europe/Paris)

Country France

Type of Contract Temporary

Job Status Other

Job Status Extra Information The expected teaching workload is 80 hours of lectures per year (equivalent to 120 hours of tutorials).

Offer Starting Date 1 Jul 2026

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Funded to the tune of 75 M€, the PR(AI)RIE Paris School of AI (PR(AI)RIE-PSAI), a project led by Université PSL in partnership with Université Paris Cité, CNRS, Inria and Institut Pasteur, has the highest budget in the French "IA Cluster" program, aimed at consolidating research, training and innovation clusters in artificial intelligence in France.

As part of this program, PSL University is recruiting 10 AI Fellows (Fellow in Artificial Intelligence) on 3-year contracts, with positions starting at the beginning of the 2026 academic year (between July 1 and September 1, 2026). These positions are intended for young researchers in artificial intelligence who wish to pursue a high-level research career, while at the same time investing in teaching assignments and the development of original courses.

Mission

Paris School of AI - PSL University

The range of courses offered by the Paris School of AI at PSL University, as part of the PR(AI)RIE-PSAI IA-Cluster, covers all levels from bachelor to doctorate for AI specialists and non-specialists (AI+X) in initial and continuing education. Teaching is in French or English, depending on the course. The people recruited will mainly be involved in the following courses:

• International Bachelor of Science in AI;
• Double Licence IA et science des organisations (Double Bachelor's degree in AI and organizational science);
• Master IASD (Master in AI and Data Science);

The people recruited will need to be able to adapt to a wide range of students and teach in AI. Most of the teaching required concerns the "core of AI":

• from introduction to machine learning to advanced statistical learning, deep learning, reinforcement learning, ...
• natural language processing, computer vision, data science, ...

More specialized profiles are also in demand:

• AI for science: teaching the use of AI for different scientific disciplines to non-specialists;
• computational social sciences:
  • fundamental concepts and theories of the social sciences,
  • basic principles of human behavior and decision-making,
  • social change and cultural dynamics,
  • public policy implementation and evaluation,
  • causal inference methods (e.g. regression discontinuity, difference-in-difference, instrumental variables, randomized controlled trials)
• ethics, governance and regulation:
  • ethics of AI and algorithmic decision-making,
  • justice, fairness and bias in AI systems,
  • regulation and governance of AI, including global policy frameworks,
  • societal impact of AI, with a focus on economic, cultural and political implications.

The teaching emphasis is on 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

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.

Where to apply

E-mail

Requirements

Research Field Technology » Computer technology

Education Level Bachelor Degree or equivalent

Skills/Qualifications

Minimal education level: PhD. French or International

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 or young researcher

Language requirements:

• French, appreciated but not required

Languages ENGLISH Level Mother Tongue

Research Field Technology » Computer technology Years of Research Experience None

Additional Information

Selection process

Please send us the following documents:

• Detailed CV.
• PDF document including the following information: surname, first name, nationality, date of birth, thesis title and directors, date and place of thesis defense, discipline, current position, areas of specialization and applications (if any). A project for integration at PR(AI)RIE-PSAI within PSL in both teaching and research. Depending on your specialty, experience, and projects, indicate the types of teaching you could provide, as well as the research project you would like to develop and the institutions, laboratories, or research teams you would like to join.
• Letter of motivation covering both your teaching and research projects (2 pages maximum).
• Several letters of recommendation may be included.

Candidates selected for an audition will be invited to an interview beetween April 15th to 24th, 2026, either in person or via videoconference.