Summer schools organized by our doctoral candidates
The EuroTech Alliance (DTU, EPFL, TUM, TU/e, L’X and Technion) is funding selected summer/winter schools, organized by doctoral candidates from the EuroTech Universities, for their peers. The objective of this project is to enhance exchange between the EuroTech Universities.
The course should contain the following attributes:
- Candidates acquire knowledge at the cutting edge of science & technology
- Community building including exchanges between PhD candidates and faculty
Concrete Life Cycle: from Cradle to Grave, 12-15 January 2020, Technion (ISR)
The course will address sustainability, testing, design and construction of concrete structures exposed to different loading and environmental (including extreme) conditions. The research cooperation in studying the processes of concrete deterioration in different environments, and the development of advanced high-performance materials, with a focus on utilization of industrail by-products, such as coal fly ash and granulated slag, is expected to bring scientific and practical benefits for the society.
Model Order Reduction, 7-10 September 2020, EPFL (CH) via Zoom
Model order reduction (MOR) seeks to reduce the computational complexity of numerical simulations through the identification of potential simplifications of complex problems. The summer school will cover theoretical and practical aspects of MOR. The participants will be first introduced to certified reduction techniques for elliptic and parabolic problems, for which rigorous error bounds of the approximation errors are available. State-of-the-art MOR approaches for nonlinear dynamical systems, advection dominated models and physical problems characterized by delicate geometrical structures will be detailed through the summer school in the form of plenary lectures. In parallel, applications to real-world problems and to the emerging field of data assimilation will be addressed. Introductions to MOR software packages will be useful for having first hand experiences with MOR techniques.
Open Science in Practice, 2-6 September 2019, EPFL (CH)
‘Open’ is the new black. Everybody talks about open science. But what does it mean exactly? This summer school is for anyone interested in learning more about what academic research will look like in the future. We want to bring together established scientists and early career researchers to provide a stimulating, yet friendly, learning environment. No preliminary knowledge of open science is required! The course will take place over five days, with a large part of the program dedicated to workshops and tutorials. Instructors will present their experience and expertise on how you can adopt open science tools and best practice to your research more efficient, reproducible, visible and impactful. The course is open to all students and early career researchers. Anyone interested in learning more about the topic is stronly encourage to apply.
Model Order Reduction Summer School, 23-27 September 2019, Academisch Genootschap Eindhoven (NL)
Classical numerical techniques, yielding high fidelity models, are not suitable for real-time estimation and control or multi-query simulations due to the high computational time and data storage required. The development of reduced-order modelling techniques is an indispensable step in order to obtain surrogate models of smaller size that approximate the system dynamics and at the same time require less computational effort. Model Order Reduction has emerged as an essential paradigm in all fields of science and engineering.
New Trends in Chiral Magnetism, 20-24 August 2018, EPFL (VD)
The summer school aims at providing a broad and in-depth view on chiral magnetism and timely research topics to students, considering e.g. chiral domain walls, spin spiral and spin cycloids, skyrmions, magnonic crystal properties and directional dichroism of microwaves. The school will address experimental and theoretical physics, experimental and computational material science, microengineering and electrical engineering.