Event Calendar

 
Workshop

Pathways into Mathematics of SPDEs: A Workshop for Young Researchers

Wednesday, 11 March 2026
Uni Heidelberg: Mathematikon, Im Neuenheimer Feld 205 (INF 205), 69120 Heidelberg

We are happy to announce the Junior Researcher Workshop on stochastic partial differential equations in applied mathematics. The workshop is a joint initiative by doctoral students from Karlsruhe's KCDS and Heidelberg's HGS MathComp and aims to provide young researchers with a smooth introduction to this challenging yet highly relevant topic.


Registration is now open and poster contributions are very welcome!

 

Abstract

Stochastic partial differential equations (SPDEs) are a notoriously challenging topic in combining advanced theory of both partial differential equations and stochastic processes. However, it is due to this sophisticated combination of both concepts that they emerge as a powerful and versatile tool for modelling highly diverse phenomena in the sciences. While incredibly useful to describe these systems, utilising them jointly with data and measurements to accurately determine characteristics or provide reliable predictions is still a lot of work in progress in (applied) mathematics.
A central challenge, especially for junior researchers with an interest in the field, is that there is a major gap to overcome from available lecture materials, graduate courses and books to current problems and challenges in applied mathematics for SPDEs. We aim to support doctoral students in closing this gap, growing a network of junior researchers and fostering interdisciplinary collaboration.

 

More info and registration:

Pathways into Mathematics of SPDEs: A Workshop for Young Researchers

 

The workshop is organized jointly by doctoral researchers of the graduate schools KCDS (Karlsruhe) and HGS MathComp (Heidelberg), with financial and organizational support from: HGS MathCompKCDSHIDA, SIAM & GAMM Student Chapter HeidelbergSTRUCTURES, and HEiKA 

Costs/ Payment
free of charge
Speaker
Lukas Trottner, Andrea Barth, Markus Reiß, Oana Lang and more tbd
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
Online registration
Register here
Online Registration

Upcoming and Recent Events

Visualization of a stochastic PDE
Pathways into Mathematics of SPDEs: A Workshop for Young Researchers (March 9-11, 2026)

Doctoral researchers from HGS MathComp (Heidelberg) and KCDS have joined forces to bring you a smooth introduction to a challenging, yet highly relevant topic: Stochastic partial differential equations in applied mathematics.

Registration is now open and poster contributions are very welcome!

Info and registration
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Timeline

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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