News

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)
RainQuest Hackathon Logo
RainQuest Hackathon 2024 (Oct 8-11, Karlsruhe)

Calling all data science and machine learning enthusiasts! Join us for the "RainQuest" hackathon, an exciting challenge in a relaxed, collaborative environment.

Read more and register here
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.

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Detail of a building facade at TU Braunschweig
FrontUQ 2024 - Workshop on Frontiers of Uncertainty Quantification (Sep 24-27, Braunschweig)

FrontUQ is a workshop series of the GAMM-UQ activity group. The 2024 edition on "Uncertainty Quantification (UQ) for Aerospace Engineering" is jointly organized by TU Braunschweig, Karlsruhe Institute of Technology, and the German Aerospace Center. Registration and abstract submission are now open on the conference webpage.

more info and registration

Upcoming events

 
Workshop

Getting Started. The Path to a Successful Doctorate.

Thursday, 21 November 2024, 9:00-17:00
Campus South (room tbd)

This two-day on-site workshop takes place on November 21 & 22, 2024.

 

Content

“Do I have a plan for how to achieve my PhD? How do I define priorities and draw up a schedule? What is required for the process of writing?” A PhD project lasting a number of years will raise many questions requiring individual and tailor-made solutions.

 

This workshop will help you develop your individual strategy ensuring that your planning will both be effective and efficient in achieving your goal. You will not only learn more about self-management methods, but will also identify and explore external resources such as dealing with the expectations of others and receiving active support from your supervisors.

 

Registration

Please visit the KCDS intranet portal to register for this course.

For non-members of KCDS: 
In order to be able to book the course, 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.

 

Picture: Mindspace Studio on Unsplash

This event is part of the eventgroup General Competence Workshop
Speaker
Dr. Daniel Friedrich

impulsplus
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
Targetgroup
Young Scientists
Online registration
Register on the KCDS Intranet website
Online Registration

Highlights

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