The summer school addresses young researchers from mathematics and engineering who are already working in the field of uncertainty quantification, stochastic partial differential equations and risk analysis or are interested in these fields. It is primarily meant for PhD students, but also Master students or PostDocs are very welcome. We encourage people from both mathematics and engineering to participate.

29. July 2024 – 01. August 2024

Uncertainty is inherent in various real-world problems and the understanding of its mathematical foundations is crucial to describe stochastic systems affected with randomness or variability. In addition, there is a need for reliable computational models capable of analyzing and quantifying uncertainty, assessing risks and supporting decision-making in view of optimal allocation of resources and risk management. In numerous practical applications, uncertainty needs to be considered already in the design phase and efficient computational approaches are essential to address complex systems. This summer school provides a platform for solid theoretical understanding, state-of-the-art methodologies and interdisciplinary applications in this exciting field.

The summer school will be on-site at ETH Zürich in Switzerland.

The registration fee is 30 €. The participation to the Apéro reception is optional and the additional fee is 30 €.

The deadline for the registration is June 15th. Registration can be done via the following form:

https://forms.gle/mxx4V1h8tnE7U5Eb9

Payments should be done before the registration deadline (June 15, 2024) by bank transfer to:

Recipient: GAMM
IBAN: DE09 3307 0024 0222 0911 00
BIC: DEUTDEDBWUP
Purpose of payment: SAMM2024 YOUR_SURNAME (Please do not forget to state this reference!)

The number of participants is limited. Your registration is completed when we have received the payment.

• Mathematical foundations of uncertainty quantification and stochastic partial differential equations
• Numerical approximation of stochastic partial differential equations
• Computational approaches and risk analysis based on uncertainty
• Surrogate modeling, optimization and inverse problems under uncertainty
• Applications of uncertainty quantification in engineering

The summer school includes lectures from experts in the field of mathematics and computational engineering introducing theoretical foundations as well as relevant applications. The lectures will be accompanied by hands-on tutorials, which transfer the theoretical foundations into working code.

Prof. Claudia Schillings
Institute of Mathematics
Free University of Berlin, Germany

Prof. Andrea Barth
Institute of Applied Analysis and Numerical Simulation
University of Stuttgart, Germany

Dr. Nora Lüthen
Department of Civil, Environmental and Geomatic Engineering
ETH Zurich, Switzerland

Dr. Nicole Aretz
Oden Institute of Computational Engineering and Sciences
University of Texas at Austin, U.S.A.

To be announced.

To be announced.

For questions please write an e-mail to

gamm.juniors@gmail.com

Margarita Chasapi (RWTH Aachen, Germany)

Alexander Henkes (ETH Zurich, Switzerland)

Georgia Kikis (University of Duisburg-Essen, Germany)

Hendrik Geisler (Leibniz University Hannover, Germany)

Amine Othmane (Saarland University, Germany)

Katharina Klioba (Hamburg University of Technology, Germany)

Sahir Butt (Ruhr University Bochum, Germany)