The use of artificial intelligence is now crucial for environmental and climate issues, including oceanography. In this context, SCAI and the Institut de l'Océan of Sorbonne Université joined their forces, together with the financial support of EUR-IPSL Climate Graduate School, to offer a transdisciplinary school for PhD candidates and post-doctoral researchers. Twenty candidates will be selected according to their academic background, their research subject & their motivation to participate in this school.
The objective: to acquire knowledge and skills in AI applied to oceanography and marine ecology to analyze marine big data (imaging, satellite, floats, etc..).
Practical information
The school will take place in the seminar room of SCAI, the Sorbonne Cluster for Artificial Intelligence. It is located on the Pierre and Marie Curie Campus of Sorbonne University, 4 place Jussieu (métro Jussieu), 75005 Paris, France. Lectures will be given in English.
Important: Do not forget to bring your own laptop.
2026 Programme
The school will be from 9h to 17h or 18h, from Monday to Friday. Each day, you will have two classes of 1h30 each in the morning, by experts in their field: one on an oceanography topic and one on a machine learning topic. In the afternoon, you will have a tutored practical lab of 3h to 4h, in a dedicated computing environment, to apply a machine learning algorithm on real oceanic data. This direct application of the morning class will encompass coding, training, and applying a model.
Application procedure
Please apply online before the 24th of April 2026.
Candidates will be selected using the following criteria: adequation between the school’s themes and the candidate’s research project, minimum skill requirement, motivation for the ML4Oceans school. Candidates from different backgrounds are encouraged to apply.
The outcome of the selection procedure will be communicated to the candidates early May.
Speakers
Organising committee