The Scientific Computing & Mathematics department links the activities of three divisions. In the interdisciplinary research group Computational Science and Mathematical Methods, everything revolves around modelling and numerical methods research. It brings together researchers from the SCC, the Institute of Applied and Computational Mathematics and external partners from industry and science. Experts from our Simulation and Data Life Cycle Labs support researchers who perform calculations on our supercomputers. They help with the implementation of their simulation models and organize training courses to facilitate their entry into high-performance computing. And for the scientists of tomorrow, we offer workshops and project days with CAMMP and Simulated Worlds. Interested teachers can bring our experts directly to their school and solve exciting, real-world problems with the help of mathematical modeling.
CV
03/2022 - | Head of Department "Scientific Computing & Mathematics" | Scientific Computing Center (SCC) at KIT |
10/2023 - 03/2024 | Deputy Professorship for Computational Mathematics | Technical University Munich (TUM) |
04/2021 - 02/2022 |
Officer for Digitalisation and Information Infrastructure
|
Ministry of Science, Research and Arts in Baden-Württemberg |
10/2016 - 03/2021 | PhD in Mathematics | Institute for Analysis, Karlsruhe Institute of Technology (KIT) |
10/2018 - 03/2019 | Research Visit | Queen Mary University London |
09/2015 - 09/2016 | Master of Science in Mathematics | King's College London |
10/2011 - 03/2015 | Bachelor of Science in Mathematics | Karlsruhe Institut of Technology (KIT) |
Projects
bwJupyter for TeachingThe aim of this project is to strengthen research-oriented teaching, especially in the fields of AI, machine learning, simulation and modeling, by providing a state-wide service bwJupyter. |
|
bwRSE4HPCIn order to implement a sustainable and professional approach to the development and management of energy-optimized research software, suitable support structures and services operated by highly specialized research software engineers are required. This is where the new state service bwRSE4HPC comes in. |
|
CAMMPCAMMP stands for Computational And Mathematical Modeling Program. It is an extracurricular program offered by KIT for high-school students of different ages. CAMMP aims to raise public awareness of the social importance of mathematics and simulation science. To this end, students actively engage in problem solving with the help of mathematical modeling and the use of computers in various event formats together with teachers and explore real problems from everyday life, industry or research. |
|
Simulated WorldsThe Simulated Worlds project aims to give pupils in Baden-Württemberg a deeper critical understanding of the possibilities and limitations of computer simulations. The project is jointly supported by the Scientific Computing Center (SCC), the High Performance Computing Center Stuttgart (HLRS) and the University of Ulm and is collaborating with several schools in Baden-Württemberg. |
Publications
Öz, M.; Kiefer, N.; Debus, C.; Hörter, J.; Streit, A.; Götz, M.
2024. Machine Learning and Knowledge Discovery in Databases. Research Track : European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9–13, 2024, Proceedings, Part IV. Ed. by Albert Bifet, Jesse Davis, Tomas Krilavičius, Meelis Kull, Eirini Ntoutsi, Indrė Žliobaitė, 3–19, Springer Nature Switzerland. doi:10.1007/978-3-031-70359-1_1
Hörter, J.; Lamm, T.; Micallef, M.
2023. Annali della Scuola Normale Superiore di Pisa - Classe di Scienze, 24 (4), 2269 – 2310. doi:10.2422/2036-2145.202201_002
Hörter, J.
2021, August 31. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000136367
Hörter, J.; Lamm, T.
2021. Calculus of Variations and Partial Differential Equations, 60 (4), Art. Nr.: 125. doi:10.1007/s00526-021-01995-7
Teaching
Semester | Titel | Typ |
---|---|---|
WS 2024/25 | Modeling, Algorithms, Simulation | Seminar |
WS 2023/24 | Seminar: Modeling, Algorithms, Simulation | Seminar |
WS 2020/21 | Analysis 3 | Lecture |
SS 2020 | Analysis 2 | Lecture |
WS 2019/20 | Analysis 1 | Lecture |
SS 2018 | Geometric Analysis | Lecture |
WS 2017/18 | Proseminar | Proseminar |