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17.Apr
15:45
© OpenAI
Lecture
A Scientist’s Primer on Mental Health
Otto Lehmann Lecture Hall, CS
Hanna Sänger, Mental Health Counsellor & Coach, Dragonfly Mental Health
Mental health is often misunderstood, especially in academia. Myths about what causes psychiatric conditions, who is affected, and how these challenges show up can create barriers to support and open conversation. Yet research shows that mental health struggles, from anxiety to depression, are far more common in academic and scientific communities than many realize.
Join us for this seminar and facilitated discussion, designed for researchers, by researchers. We’ll explore:
the prevalence of mental health illness in general and academic populations  signs and symptoms, highlighting those seen in academic settings the science underlying the causes and treatments of mental illnesses, with an emphasis on depression and anxiety (most common mental illness) Together, we will identify gaps, barriers and opportunities for support at your institute. The discussion will be shaped by your questions and experiences, and we’ll measure knowledge before and after to ensure the conversation leaves you with actionable insights.
24.Apr
9:00
Workshop
Perspectives outside academia, Focus: International Career Paths
KIT, Campus South
20.30 SR 3.060 …
Melanie Moosbuchner
One-day interactive on-site workshop (April 24, 2026)
 
Only few PhD graduates stay at the university in the medium term and the most optimistic estimates give only 10 % of PhDs a realistic chance of attaining a professorship. Therefore, it is very wise for scientists to start exploring alternative career paths early on. Several obstacles stand in the way: the intense focus on the dissertation and the resulting lack of time, doubts and fears about career prospects both inside and outside academia, and the shortage of concrete strategies and role models.
 
This workshop offer is intended to give doctoral candidates and postdocs the opportunity to deal specifically with the topic of possible career prospects outside of their academic career – be it to have a good "plan B", be it to concretize perspectives and take their first steps.   Note: This workshop is aimed at the international job market. Please consider our other workshop offer in March if you are specifically interest in working in Germany or other German-speaking countries.   The workshop is offered exclusively for KCDS members and members of the CRC Wave Phenomena. If there are free places left, non-members can also sign up. Registration for non-members will be open starting February 1, 2026.   Registration
Please visit the KCDS intranet portal to register for this course.
 
For non-members of KCDS:
In order to sign up, a KCDS guest/non-member account is necessary.
If you don't have an account yet, you can register here: Create a KCDS account to book courses
Once your account is activated by a KCDS administrator, you will be able to book the course.
12.Jun
9:30
Workshop
Introduction to High Performance Computing
KIT, Campus South
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.
19.Jun
9:30
Workshop
Introduction to High Performance Computing
KIT, Campus South
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.
21.Sep
9:00
KCDS Summer School 2026 on Graph Neural Networks
building 20.30, room 0.014
tbd
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.
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Upcoming and Recent Events

AI-generated, symbolic image of a graph neural network, with the words KCDS 2026 Summer School Graph Neural Networks on top
KCDS Summer School on Graph Neural Networks (Sep 21-25, 2026)

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.

More info and registration
View from the Hohlohturm in the Black ForestHarke, CC BY-SA 3.0 , via Wikimedia Commons
KCDS Retreat 2026

This year's group retreat will be from November 2-4, 2026 at the Black Forest. Save the date!

More info
A signpost pointing to "Past" and "Future" Hadija on Unsplash
Timeline

Find an overview of past events in our timeline.

link

Highlights

Visualization of a stochastic PDE
Pathways into Mathematics of SPDEs: A Workshop for Young Researchers 2026

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.

More info
Workshop on Statistics and Data Science for Climate and Weather Extremes
Workshop: Statistics and Data Science for Climate and Weather Extremes 2025

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.

Read more here
KCDS group at the retreat 2025
KCDS Retreat 2025

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.

Read more
Wavy lines, designed by FreepikFreepik
KCDS Summer School 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.

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Prof. Victoria StoddenVictoria Stodden
Report: Reproducibility Workshop with Prof. Victoria Stodden

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.

Read more
Panel discussion with KIT Alumni at Triangel Space
Report: Career Talk with KIT Alumni 2024

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.

Read more
Group picture of the participants of the RainQuest Hackathon 2024
Report: RainQuest Hackathon 2024

The hackathon on precipitation estimation with weather radar and rain gauge data took place from October 8-11, 2024 at Triangel Studio.

Read more

About KCDS

Concept of the graduate school KCDS
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!

Coordination Office

Angela Hühnerfuß, M.A.
Coordination KIT Graduate School Computational and Data Science

+49 721 608-47748angela huehnerfuss ∂does-not-exist.kit eduwww.kcds.kit.edu/