The GAMM Juniors organize the Pre-GAMM for the first time in 2021. We want to prepare young researchers for the upcoming 91st GAMM Annual Meeting by introductory courses to core topics at GAMM and by a soft skill seminar “how to conference” targeting especially first-time participants and early-career PhD students.

Scientific onboarding

This track is free to access for everyone registered for the GAMM annual meeting. Introductory courses to a wide range of topics will be given by mid-career researchers. No prerequisite knowledge is required as these courses are meant to onboard you to a topic outside your own scientific field.


March 8th
Prof. Laurette Tuckerman
Introductory Lecture to: Exotic patterns of Faraday waves  
March 8th
Prof. Holger Steeb
Introductory Lecture to: Modelling Porous Media: From Images to Numerical Simulations
March 9th
Dr. Christian Etmann &
Mr. Subhadip Mukherjee
Introductory Lecture to: Data driven variational models for solving inverse problems
March 9th
Prof. Josef Málek
Introductory Lecture to: Beyond the Navier-Stokes equations  
March 11th
Prof. Jörn Mosler
Introduction to the modeling of material interfaces

Soft skill seminar: How to conference (registration required!)

You have just started your PhD and it is your first GAMM annual meeting? You want to be well prepared and make the best out of the upcoming week? We – the GAMM Juniors – invite you to take part in our Pre-GAMM event to discuss your questions on “How to conference?” with a board of excellent researchers! The soft skill seminar will take place in a virtual meeting. The number of participants is limited to a number of 30 participants by the principle of first-come first-served.

Registration starts on March 3rd by sending a mail to mang [at] or lisa.scheunemann [at], where you indicate briefly your scientific career path.

Organizers: Lisa Scheunemann and Katrin Mang

March 15th
Soft skill seminar: How to Conference

Discussion and Q&A
Prof. Dr. Dietmar Gallistl (Friedrich-Schuller Universität Jena, Chair of Numerical Analysis),
Dr.-Ing. Johanna Eisenträger (Otto-von-Guericke-Universität Magdeburg, Institut für Mechanik),
Prof. Dr.-Ing. Marc-Andre Keip (University of Stuttgart, Institute of Applied Mechanics),
Dr. Marita Thomas (Weierstrass Institute for Applied Analysis and Stochastics)