Forum in front of Audimax (building 30.95), KIT Campus South, Booth A16
You are thinking about/starting/doing your doctorate and wondering if KCDS is the right graduate school for you?
Come meet us at this year's KIT Career Fair in front of the Audimax!
We will be at the Karlsruhe House of Young Scientists (KHYS) booth A16 from 13:30-15:30h.
What else to expect at the KIT Career Fair:
Every year in May, the square in front of the Audimax on KIT Campus South is transformed into a colorful job open-air, organized by the Career Service. Meet recruiting and specialist staff from a wide range of sectors, with different companies at the start every day of the fair. Exchange information in a relaxed atmosphere about job profiles, entry opportunities and specific vacancies that match your degree course. Sustainable and close: without registration, in the middle of university life, you can get information, make contacts and get your career off to a flying start.
Dr.-Ing. Samuel Braun, Dr. René Caspart, KIT, Scientific Computing Centre
This two-day block course takes place on Friday, June 12 and 19, 2026 at Campus South.
SCC operates the high-performance computer systems Hochleistungsrechner Karlsruhe (HoreKa) and bwUniCluster 2.0. This introductory course will give you a theoretical overview of the following topics (block #1-2) and includes a practical workshop and a visit at the HoreKa facility (block #3).
Block #1:
- Supercomputer hardware design and architecture
- CPUs, Accelerators and High-Performance Interconnects
- Infrastructure, (Power) Efficiency and cooling concepts
- Operating models and user services
Block #2:
- Software stacks and job scheduling
- Programming models
- IT Security
Block #3 (date will be determined with participants):
- Practical workshop
- Visit at the HoreKa facility
Registration
The course "Intro to High Performance Computing" is organized jointly by graduate schools KCDS and ENZo and it is open to all interested doctoral researchers at KIT.
Please register via ILIAS until May 20, 2026.
Dr.-Ing. Samuel Braun, Dr. René Caspart, KIT, Scientific Computing Centre
This two-day block course takes place on Friday, June 12 and 19, 2026 at Campus South.
SCC operates the high-performance computer systems Hochleistungsrechner Karlsruhe (HoreKa) and bwUniCluster 2.0. This introductory course will give you a theoretical overview of the following topics (block #1-2) and includes a practical workshop and a visit at the HoreKa facility (block #3).
Block #1:
- Supercomputer hardware design and architecture
- CPUs, Accelerators and High-Performance Interconnects
- Infrastructure, (Power) Efficiency and cooling concepts
- Operating models and user services
Block #2:
- Software stacks and job scheduling
- Programming models
- IT Security
Block #3 (date will be determined with participants):
- Practical workshop
- Visit at the HoreKa facility
Registration
The course "Intro to High Performance Computing" is organized jointly by graduate schools KCDS and ENZo and it is open to all interested doctoral researchers at KIT.
Please register via ILIAS until May 20, 2026.
TT-Prof. Dr. Benjamin Unger, Prof. Dr.-Ing. Maria Francesca Spadea, Dr.-Ing. Tobias Käfer
KIT Centers MathSEE and KCIST are jointly hosting “AI Perspectives” at Triangel Space: The goal of this format is to foster scientific exchange among our active but very spread-out AI community at KIT.
AI Perspectives will take place on Wednesday July 8, 2026, 13:00 to 16:00h at Triangel, Karlsruhe.
Register here: https://indico.kit.edu/event/5580/
The workshop will feature talks by Benjamin Unger, Maria Francesca Spadea and Tobias Käfer as well as a networking opportunity with a poster session. We would like to encourage doctoral researchers to show their research related to AI and submit a poster! For KCDS Fellows, poster contributions will be credited with 1 CP („cutting-edge knowledge“).
Submit your poster abstract until May 20th: https://indico.kit.edu/event/5580/abstracts/#submit-abstract
Jan Stühmer (HITS/KIT), İsmail İlkan Ceylan (TU Vienna, AITHYRA), Joel Oskarsson (ETH) and Arghya Bhowmik (DTU)
The program of this year's summer school will focus on Graph Neural Networks, covering both fundamental concepts and practical applications.
Participants can expect a mix of lectures and interactive sessions that provide insight into the mathematical foundations as well as real-world use cases of graph-based machine learning methods.
KCDS members as well as doctoral researchers from KIT and other universities/ research centers are welcome to join! There is no participation fee. Please note that KCDS doesn't cover travel and accomodation expenses.
Join the CDS Runners team for the 12th KIT Meisterschaft, a 10km fun run that takes place on Saturday, July 4 at 9:30h at KIT Campus South. Feel the team spirit and get a free KIT shirt!
The AI Community at KIT is active, but spread-out: KIT Centers MathSEE and KCIST aim to bring AI researchers together in this joint workshop. Join us at Triangel Space for inspiring talks by Benjamin Unger, Maria Francesca Spadea and Tobias Käfer and show your AI-related research at our poster session.
In this year's summer school, we will cover both fundamental concepts and practical applications of Graph Neural Networks. Participants can expect a mix of lectures and interactive sessions that provide insight into the mathematical foundations as well as real-world use cases of graph-based machine learning methods.
The workshop was co-organized by doctoral researchers from HGS MathComp (Heidelberg) and KCDS and provided a smooth introduction to a challenging, yet highly relevant topic: Stochastic partial differential equations in applied mathematics. It took place from March 9-11, 2026 in Heidelberg.
A worthwhile journey to KIT Institute of Statistics: Talks by Sebastian Engelke, Linda Mhalla, Gabriele Messori, Petra Friederichs gave insights into state-of-the-art research in statistics and data science for climate and weather extremes. The workshop took place on November 20, 2025 at the Campus South outpost in Blücherstraße.
A friendly place in the Black Forest, sunny autumn weather, good food, lively (scientific) discussions, board games and activities ranging from powerpoint karaoke to trampoline jumping were the ingredients of a lovely KCDS Retreat this year! It took place from November 10-12, 2025.
Short courses and an interactive tutorial on Neural Operators and Gaussian Processes, along with a poster session and lots of opportunities for networking with other researchers - that was the KCDS Summer School 2025! It took place from August 27-29, 2025 at KIT Campus South.
KIT International Excellence Fellow Prof. Victoria Stodden invited the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled - taking reproducibility to action! The workshop took place on January 21, 2025 at Triangel Studio.
From Computational and Data Science to Industry and Academia - four KIT Alumni gave insights into their jobs during a lively panel discussion on October 11, 2024 at Triangel Space.
KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in the field of model-driven and data-driven computational science.
In this unique program, doctoral researchers will be able to conduct an interdisciplinary research project that revolves around computational methods such as mathematical models, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied SEE discipline (science, economics and engineering).
Addressing global challenges, the school provides a wide variety of topics, from meteorological ensemble forecasting to machine learning in elementary particle physics.
At KCDS, doctoral researchers have one supervisor from the mathematical sciences and one from the applied discipline. They are part of a dynamic community and participate in the school’s interdisciplinary training program, including hands-on training in small groups, summer schools, networking events and hackathons/datathons.
Thinking simulations and data together, we are ready to conquer the data-driven challenges of tomorrow!
+49 721 608-47748
angela huehnerfuss ∂does-not-exist.kit edu
www.kcds.kit.edu/