The Junior Trimester Program is primarily addressed to PhD students, postdocs and young assistant professors. Applicants are expected to have completed their PhD thesis at most 7 years ago.
*The online application platform to participate in this trimester program is open until June 15, 2025 (CET).
Many scientific and engineering problems exhibit a combination of complex interactions over wide ranges of scales and input data parametrized over high-dimensional parameters spaces. However, naive applications of numerical solution techniques to such problems are often beyond current computational feasibility. To this end, multilevel, multifidelity, and multiscale problems have emerged as innovative approaches which can be applied to a wide range of processes in scientific and engineering domains. They can enhance simulation-based modeling, uncertainty quantification, optimization and design, inverse problems, and data assimilation. The Junior Trimester Program aims to foster the development of a new generation of efficient numerical methods and their numerical analysis by cross-fertilizing methods from multifidelity, multilevel and multiscale techniques. For this, it will bring together junior researchers from the corresponding communities to build new bridges between the different methods.
Trimester Program Events:
- Introductory Winter School (January 19 to 23)
- Workshop "Multifidelity Methods for Stochastic and Uncertain Problems" (February 2 to 6)
- Workshop "Optimal approximation spaces for multiscale problems" (February 23 to 27)
- Workshop "Taming the PDEs: Tailored Methods, Multiscale Approaches, and Real-World Application" (March 9 to 13)
For the descriotioins of each workshop, please visit the webpage of this Junior Trimester Program.