The Mathematics of Scientific Computation and Engineering program organizes the development and expansion of the link between applied mathematics and engineering within the Paris-Saclay area.
The program
- Funds scientific events in the fields of applied mathematics and engineering, with sufficient links to the Paris-Saclay perimeter. To apply for funding, click here.
- Funding for invitations to foreign scientists, for periods of 1 to 3 months. To apply for funding, click here
- Cooperates with the EDMH jury in the selection of thesis funding applications that fall within the scope of its expertise.
- finances post-doctoral fellowships, via the annual call for proposals issued by the FMJH.
- Participates in the funding of collaborative projects involving laboratories within the Paris-Saclay perimeter (joint annual call for projects with PGMO).
Please note that requests for support (for scientific events and invitations to foreign scientists) are examined on an ad hoc basis by the FMJH Steering Committee, which relies on the advice of the Mathematics of Scientific Computation and Engineering jury. To give the jury time to examine the applications, applications must be submitted at least 14 days before the Steering Committee meeting. Late applications will be examined at the next steering committee meeting (see calendar).
Mathematics for Scientific Computing and Engineering" focuses on the development, analysis, and implementation of mathematical methods and algorithms that enable efficient and reliable numerical modeling of complex systems arising in the physical, biological, and engineering sciences. This theme encompasses core areas such as numerical linear algebra, partial differential equations, approximation theory, optimization, and uncertainty quantification. It also embraces the rapidly growing field of scientific machine learning, which combines data-driven approaches with traditional numerical methods to enhance simulation, prediction, and model discovery.
Overall, this theme plays a crucial role in bridging theoretical models and practical applications, supporting advancements in fields ranging from climate modeling to materials science and data-driven simulation.
Scientific Committee
The Math CSI program is led by Pietro Congedo (CMAP, X) and Christophe Chalons (LMV, UVSQ)
With a program committee made up of Emilie Chouzenoux (FdM, Centrale-Supelec), Nicole Spillane (CMAP, X), Eric Lunéville (UMA, ENSTA), Benjamin Graille (LMO, Orsay) and Laurent Dumas (LMV, UVSQ)