News

UM-Bridge logo
UM-Bridge Workshop 2024, Dec 5/6

Online workshop on UM-Bridge, a language-agnostic interface linking Uncertainty Quantification (UQ) packages and numerical model software.

Registration deadline: November 24

Read more and register here
Symbolic picture for doctoral researchers
Call for proposals (KIT internal): DAAD Graduate School Scholarships at KCDS

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

Deadline: January 31, 2025

Learn more (only visible in KIT intranet)
Scene with friends talkingBrooke Cagle on Unsplash
Career Talk with KIT Alumni: From Computational and Data Science to Industry and Academia (Oct 11, 2024)

Wondering whether to choose academia or industry for your next career step? Join us for a panel discussion with KIT alumni sharing their experiences, job profiles, and career journeys in computational and data science.

Read more

Upcoming events

 
Lecture

"Safe AI: Research Frontiers in Academia" - KCDS Talks - January 2025

Wednesday, 22 January 2025, 16:00-17:30
Hybrid: TRIANGEL Studio @Kronenplatz and Zoom

The KIT Graduate School Computational and Data Science (KCDS) at KIT Center MathSEE is delighted to kick off the new year with an exciting KCDS Talk in January.

 

The topic for January is "Safe AI: Research Frontiers in Academia" As AI continues to play a growing role in critical sectors such as healthcare, autonomous systems, and intelligent production, ensuring safety and reliability in AI systems has become a major focus for researchers.

 

We are pleased to host a panel of distinguished academic experts who are leading research in safe AI:

 

  • Dr. Ramy Zeineldin (FAU Erlangen-Nürnberg - Department of Artificial Intelligence in Biomedical Engineering)
  • Dr. Ö. Sahin Tas (FZI - Intelligent Systems & Production Engineering)
  • Prof. André Platzer (KIT KASTEL - Logic of Autonomous Dynamical Systems)

 

This talk will dive into the research frontiers in AI safety, exploring how academia is advancing methods to ensure that AI technologies are robust, secure, and trustworthy. From biomedical applications to autonomous systems, these experts will share insights from their latest research and discuss the challenges and opportunities in making AI safer.

 

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 Lukas Frank.

 

Snacks and Drinks & Networking Opportunity: After the event, there will be food provided, offering an excellent opportunity to network with the speakers and other attendees. Make the most of this chance to connect and discuss ideas with fellow researchers and professionals.

 

Whether you’re a student, researcher, or professional working with AI or simply interested in the future of safe AI, this event promises to be both informative and engaging.

 

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

Speaker
Prof. André Platzer, Dr. Ö. Sahin Tas, Dr. Ramy Zeineldin

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

Highlights

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.

Read more
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.

Read more
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.

Read more
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