"Mathematics in Sciences, Engineering, and Economics"
The KIT Center "MathSEE" (Mathematics in Sciences, Engineering, and Economics) pools the interdisciplinary mathematical research at KIT since October 2018. The Collaborative Research Center 1173 "Wave Phenomena: Analysis and Numerics" and other existing cooperations form the basis for the establishment of MathSEE.
Our members from the career level doctoral researcher onwards work together in exchange formats and interdisciplinary research projects structured in areas of methods.
Our graduate school MathSEED offers a comprehensive program for doctoral researchers and master students to foster interdisciplinary training.
MathSEE offers to strengthen interdisciplinary mathematical research at KIT and its visibility.
3rd round of the Anschubförderung is open!
This time we have an additional call aiming to support funding of workshops. Members may choose to apply for one call or the other based on their current research requirements. The calls will be open untill 17.02.2020 and are aimed for the funding period until December 2020.
During the MathSEE Modeling Week, students develop solutions to current interdisciplinary mathematical research questions posed by members of MathSEE.
MathSEE, an interdisciplinary research center at the excellence university KIT, in Karlsruhe, is organising its first symposium on topics combining mathematical methods with real life applications from October 07 to October 09 2020. If you are passionate about finding solutions to real life problems and working on topics to influence the society and the industry, then come join us! We look forward to welcoming you in Karlsruhe!
Together with partner projects from physics the CRC 1173 organizes this year's interdisciplinary summer school "Computational Photonics". In this one week summer school world leading experts from both mathematics and theoretical physics give a concise introduction to important concepts and recent developments in the field.
Prof. Caroline Uhler will be visiting KIT in the framework of Gaul Lecture Series. She is Full Professor of Machine Learning, Genomic and Statistics since 2019 at ETH Zürich and is a worldwide renowned scientist engaging with Statistical methods combined with Machine Learning specializing in its applications to genomics. We look forward to her introductory lecture.
Both Collaborative Research Centers are continued for 2nd funding phase.
THe GAMM Student Chapter is organising its kick-off Meeting on 05. FEb. 2020 in KIT Campus South, Building 20.30, Room 1.067. As a PhD or Masters student of Mathematics, Material Sciences or one of the disciplines represented in GAMM, we cordially invite you to attend the meeting and join the network! The meeting will be followed by a get-together.