News and Events

MathSEE Symposium
MathSEE Symposium

Symposium on Applications of Mathematical Sciences
September 27-29, 2023 at KIT
Register now!

Info and registration
Adit Radhakrishnan
"Foundations of Machine Learning: ...

... Over-Parameterization and Feature Learning"; Invited Talk (Oct 4, on-site at KIT Campus South)

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KCDS background
Recent Advances in Kernel Methods for Neural Networks

Deep Learning Workshop (Oct 5-6, on-site at TRIANGEL.space)

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View of the lake Sankenbach in the Black Forest from above qwesy qwesy, CC BY 3.0 via Wikimedia Commons
KCDS Retreat 2023

Scientific exchange and networking in the Black Forest, Nov 13-15, 2023

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Logo of UM-Bridge
UM-Bridge Workshop

Online workshop (Dec 11/12, 2023) organized by Anne Reinarz (Durham) and Linus Seelinger (KIT).

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Past Events

KCDS background
KCDS Talk - September 26

"Applications of Topological Data Analysis in the Life Sciences", PD Dr. Andreas Ott (IAG)

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KCDS Summer School 2023
KCDS Summer School 2023

Sep 18-20, 2023 at KIT

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Outstretched hand holding a muffin with one candle in front of a confetti background
KCDS Talk - June

KCDS Fellows present their research on June 27, 13:00-14:00

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AI-HERO Hackathon on energy-efficient AI
AI-HERO Hackathon on energy-efficient AI

June 19-21, 2023 on-site in Heidelberg

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Dr. John Alasdair Warwicker
KCDS Talk - May 23rd

"A Unified Framework For Clustering And Regression Problems Via Mixed-integer Linear Programming" (J. A. Warwicker), May 23, 13:00-14:00h

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KCDS Virtual Open House
KCDS Virtual Open House 2023

Find out about the doctoral projects offered in this application round

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Johannes Bracher
KCDS Talk - April

"Forecasts in Epidemiology" (Johannes Bracher), April 25, 13:00-14:00h

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Cihan Ates
KCDS Talk - March

"How the brain learns and why adaptive models matter" (Cihan Ates), March 28, 13:00-14:00h

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Uwe Ehret
KCDS Talk - February

"Basics of Information Theory" (Uwe Ehret), Feb 28, 13:00-14:00h

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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/