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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

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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

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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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Upcoming events

 
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

Highlights

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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