Tutorial on “Instability Methods in Hydrodynamics”, October 23, 2019
by Professor Matthew Juniper (University of Cambridge)
DAEDALUS Research Retreat, May 02-03, 2019
Our first research retreat took place from May 02-03, 2019 in Berlin at DAS SCHMÖCKWITZ. The PhD students gave research presentations on their progress during the first few months of their PhDs. Afterwards, the supervisory committees had the chance to give feedback and discuss the projects. Further, each student presented a high impact paper to the group. A program of our retreat can be downloaded here.
Good Scientific Practice Workshop, March 01, 2019
Trainer: Dr. Olaf Hars
Unconscious/Implicit Bias Workshop, March 01, 2019
Trainer: Constanze-Schwärzer Dutta and Gülden Ediger
Introductory Intensive Course Period, October 29 – December 07, 2018
On October 29, 2018 an Introductory Intensive Course Period started for six weeks. The offered courses provided basic competencies in the main research areas of our RTG. The key goals of this intensive teaching period were to familiarize the students with the mathematical foundation and application foci which are crucial for the projects, to continue bridging interdisciplinary language gaps and in general to strengthen the cohesiveness of the cohort. Participating in these courses is mandatory for the cohort. The six courses were devoted to the following topics:
• Data acquisition and analysis/machine learning
Basic principles of clustering, deep neural networks, data management, linear regression, learning theory, statistical estimation, and support vector machines
• Optimization and optimal control
Basic principles of adjoint equations, first and second order optimality conditions, maximum principle, and nonlinear optimization
• Sparsity and low-rank approximation
Basic principles of compressed sensing, manifold learning, matrix completion, and tensor approximation
• Uncertainty quantification
Basic principles of frequentist and Bayesian approaches, sources of uncertainties such as parameter uncertainty, and uncertainty propagation
• (Partial) differential equation based-modeling and solvers
Basic principles of data assimilation, Galerkin approaches, model reduction, and reduced basis method
• Multiscale problems
Basic principles of adaptive approaches, multiscale modeling, multigrid, and wavelet multiresolution analysis
The courses were taught by experts such as PIs, additionally involved scientists, post-docs, or visiting researchers.
Interdisciplinary Welcome week, October 22-24, 2018
The qualification program started with the Interdisciplinary Welcome Week taking place from October 22-24, 2018. The purpose of these days was to familiarize the PhD students, with very diverse backgrounds from computer science, engineering, mathematics, and physics, with interdisciplinary interactions and to also strengthen the bond within the cohort across discipline boundaries. Key components were information about the scientific and organizational side of our RTG, a soft skill course on “Presentation Skills for Junior Scientists”, short presentations by each PhD student about her/his master thesis, scientific speed-dating, and a sightseeing trip to the German Bundestag in Berlin.
The program can be downloaded here.