Research themes

Collaborations forged by the laboratory typically fall into one of two categories:

• Data analysis, stochastic modeling, statistical methods, machine learning. Contact: Gilles Stoltz
• Modeling and simulation (in particular using partial differential equations), numerical analysis, optimization. Contact: Sylvain Faure

Methods of collaboration

The laboratory is open to collaborations of any duration, whether it be a few months or a few years. Such collaborations may involve permanent members of the laboratory only, or can also include other researchers (post-docs, or doctoral students doing industry-related CIFRE theses), depending on the difficulty and scope of the project.

The determining criterion for starting a collaboration is the existence of a scientific interest shared by a company and the laboratory; such collaborations are intended to lead to the creation of, or at least validation of, innovative mathematical methods. This generally tends to be the case whenever the problem presented by the company cannot be solved by a standard service provider. The staff contacts above can help deal with requests. They will carefully examine and discuss with relevant lab members all such requests from companies.

Costs and funding

Many kinds of collaboration are eligible for public subsidies (CIFRE theses, Maths-Industry Agency funds for the recruitment of post-docs, joint company-laboratory ANR projects, etc.), not to mention the government's research tax credit scheme for remaining costs borne by companies.

Once the subject for a collaboration has been clearly defined, we then look at available public funding sources with the company.

Companies we have worked with

Start-ups

The founders of Signactif include our members Sylvain Faure and Bertrand Maury.

Industry-based PhDs

Below is a list of industry-related PhDs defended at the Mathematical Laboratory of Orsay since 2007.