The Workshop will discuss state-of-the-art, applications and perspectives of data assimilation and inverse problems in geophysical sciences from 18 – 29. October 2021.

To register please visit: 

http://indico.ictp.it/event/9609/overview

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In a great move, scientists and students from SFB wave phenomena offer mathematics classes to pupils at Kant Gynmasium to make-up for deficits in learning through online classes in the last 1.5 school years under corona conditions.

We invite you most cordially to the lecture from Prof. Caroline Uhler, ETH Zürich, at the KIT science week on 06 October at 1500 hours. She works on statistically-methodologically highly current topics that lead to challenging optimization problems and require algorithmically sophisticated solutions. Her application focus at the moment is mainly biology and genetics with elementary causal biomedical problems.

Link to KIT Science Week

The steering committee of the KIT Center MathSEE has recently approved the funding of three interdisciplinary project proposals on the applications of advanced mathematical methods in meteorology, fluid mechanics, as well as in hydrology. We warmly congratulate the recipients of the funding and wish them every success in implementing their ideas.

KIT

The KIT Centers MathSEE and Mobility Systems were successful in stage 1 call of the funding line "KIT Centers in Competition", which approved the funding of a workshop series for the development of mathematical solutions for challenging problems in mobility systems.

The workshop series, which grew out of a successful joint Level 1 proposal by two KIT centers, KCETA and MathSEE, will aim to identify topics for promising collaboration between the two centers.

Dueben, P., Modigliani, U., Geer, A., Siemen, S., Pappenberger, F., Bauer, P., Brown, A., Palkovic, M., Raoult, B., Wedi, N., & Baousis, V. (2021). Machine learning at ECMWF: A roadmap for the next 10 years. ECMWF, 878, https://doi.org/10.21957/ge7ckgm

MathSEE Steering Committee member and spokesperson of Methodology Area 4 of the KIT Center MathSEE, Prof. Dr. Peter Knippertz, was successful in obtaining funding for their Stage 2 proposal in the KIT Future Fields funding line. 

MathSEE Steering Committee member and spokesperson of Methodology Area 1 of the KIT Center MathSEE, Prof. Dr. Roman Sauer, and new MathSEE member PD Dr. Andreas Ott were successful in obtaining funding for their stage 2 application "Topological Genomics "in the KIT Centers funding line.

KIT Center MathSEE is welcoming proposals from tandems of researchers from mathematical and applications subjects on innovative, interdisciplinary research projects that demonstrate promising applications of mathematical methods in the SEE disciplines, and advancing thereby both the disciplines. Deadline is 15.04.2021.

We want to invite you to our next topical meeting "Anything related to COVID-19" on February 25, 2021 from 10:00 to 11:30 a.m.  Please feel free to bring in your recent, current or projected research or activity on, e.g., aerosol simulations, differential equation models for diseases, teaching concepts for mathematical models in biology, communication with the public -  you name it as long as it is related to our area of methods mathematical modeling, differential equations, numerics & simulation.

06.02.2021

Christian Koos was honored as one of the ten finalists in the "Engineering and Technology" category of the Falling Walls Conference at Berlin Science Week, November 04-08, 2020, with the topic "Breaking the Wall Towards Ultra-Broadband Signal Processing". There were nearly 1000 nominations from 111 countries in 7 categories. We sincerely congratulate Mr. Koos for this great achievement.

07.01.2021

Dr. Sebastian Lerch was recently recognized with a junior research group on "Artificial Intelligence for Probabilistic Weather Forecasting" as part of the "MINT for the Environment" program of the Vector Foundation, from 2021-2025. Only two years after completing his doctorate at our Faculty of Mathematics, he has also been accepted on the editorial board of a leading meteorological journal.

19.11.2020

data science

The KIT centres KCIST, MathSEE, and Materials are jointly organising a workshop on "Data Science for Material Sciences" on 22.01.2020 from 09:00 hrs. We would like to cordially invite you to this event, which is currently planned in a hybrid format.

02.11.2020