News

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NEW Call for proposals (KIT internal): DAAD Graduate School Scholarships at KCDS

Second round: We are again calling researcher tandems (MATH and SEE) at KIT to submit interdisciplinary project ideas!

Deadline: September 15, 2025

Learn more (only visible in KIT intranet)

Upcoming and Recent Events

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KCDS Summer School 2025

Neural Operators, Gaussian Processes and Application Day

 

Date
August 27-29, 2025

 

Venue
Campus South, Building 20.30
Room 0.014

More information
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KCDS Hackathon 2025

Hack the Turbulence: Enhancing Flow Resolution with AI

 

Date
September 16-19, 2025

 

Venue
Campus South, Building 20.30
Room 0.014

More info and registration
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Topological Data Analysis and Manifold Learning using Ultrametrics

3-day block course offered jointly with GRACE

 

Date
October 8-10, 2025

 

Venue
Campus South, Building 20.30, Room 2.058

More info and registration
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KCDS Retreat 2025

Scientific exchange and networking in the Black Forest

Date
November 10-12, 2025

Venue
Naturfreundehaus Kniebis, Black Forest

More information
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Timeline

Find an overview of past events in our timeline.

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Event Calendar

 
Lecture

"How different industrial sectors deal with uncertainty" (online only) - KCDS Talks - December 2024

Tuesday, 17 December 2024, 16:00-17:30
Online: Zoom

Zoom link

The KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE is pleased to invite you to the final KCDS Talk of 2024.

 

In December, we have an exciting panel featuring experts from various industrial sectors who will discuss "How Different Industrial Sectors Deal with Uncertainty." Uncertainty plays a major role in decision-making, whether it's related to AI models, complex engineering processes, or dynamic systems. Our distinguished speakers will share their insights on how different industries tackle these challenges:

 

  • Dr. Marvin Teichmann (Siemens Healthineers - AI & Computer Vision Group)
  • Dr. Lydia Gauerhof (Airbus - Artificial Intelligence Research)
  • Dr. Alexej Klushyn (Bosch - Advanced Solutions for Digital Systems)

 

This talk will highlight the strategies and technologies used by leading companies in healthcare, aviation, and automotive sectors to handle uncertainty in their processes, from AI integration to system reliability.

 

Following the talk, there will be a discussion with the speakers, offering attendees the opportunity to ask questions and engage in conversation about the topic. The session will be hosted by Dominik W. Wolf.

 

Whether you're interested in AI applications, industrial innovation, or how companies address uncertainty in complex systems, this talk will offer valuable perspectives from key players in the field.

 

Join us via Zoom – the event is free and open to all without prior registration.

Speaker
Dr. Lydia Gauerhof, Dr. Alexej Klushyn, Dr. Marvin Teichmann

KIT
Organizer
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds does-not-exist.kit edu
https://www.kcds.kit.edu
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Highlights

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.

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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.

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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
Group picture of the participants of the KCDS Workshop on Data Processing and Data Assimilation 2024Na Luo
Report: KCDS Workshop on Data Processing and Data Assimilation 2024

The workshop with Dr. Annika Oertel (IMKTRO) and Dr. Vandana Jha (SCC) took place from September 11-12, 2024 at the Mathematics building.

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KCDS Retreat 2023 - group picture
Report: KCDS Retreat 2023

The second annual KCDS Retreat took place from November 13-15, 2023 at Naturfreundehaus Kniebis in the Black Forest.

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Deep Learning workshop group picture
Report: Deep Learning Workshop 2023

The workshop with a focus on "Recent Advances in Kernel Methods for Neural Networks" took place in October 5-6, 2023 at the Triangel.

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KCDS Summer School 2023 group photo
Report: KCDS Summer School 2023

The first KCDS Summer School centered on the topic of Stochastic and Hybrid Modelling and took place at KIT Campus South, September 18-20, 2023.

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