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Philosophy: The fundamental principles of interactions between colleagues and students are trust, honesty and equity. As a consequence, our interactions and our behaviour are respectful, inclusive and non-judgemental, regardless of race, gender or socioeconomic status.


The Role of Teaching: Each teacher was once a student. I am extraordinarily grateful to all my teachers, friends and colleagues who happily shared their knowledge with me and who supported me in learning and growing. The positive experience I made, I try to pass on to my students. In my lectures I always try to create an open-minded, friendly and generous environment for the students. Spontaneous brainstorming is encouraged, mistakes are considered as part of the learning process and contributions from students are appreciated. I consider it as my obligation to share the knowledge that I gained through the years of research. I always enjoyed teaching and the contact with students. In my scientific work my interdisciplinary research orientation always required me to listen, to learn, and to communicate across disciplines. 

The Max-Planck Institute for Meteorology runs jointly with the University Hamburg the International Max Planck Research School on Earth System Modelling IMPRS-ESM. I voluntarily lectured at the IMPRS on computational fluid dynamics and numerical modelling as well as at the the research and training group RTG 2583 Modeling, Simulation and Optimization of Fluid Dynamic Applications at the Department of Mathematics of the University Hamburg, a centre that is dedicated to the training of PhD students in mathematics. 

Examples of Lectures

 Lectures ran always over one semester with 2h per week.

  • Fluids and their numerical methods (Summer semester 2021)

  • Numerical Geophysical Fluid Dynamics (winter semester 2016/2017)

  • Numerical Methods for Atmosphere & Ocean Modelling (Winter semester 2014/2015)

  • PDE’s and Waves for Atmosphere & Ocean Modelling (Summer semester 2013)

PhD-Theses supervised

  1. K. Sharma University Hamburg, (since 2020), Numerical stochastic climate modelling

  2. L. Krönert, University Hamburg, (2019), On the representation of eddies in a numerical ocean model 

  3. J. Salameh, University Hamburg, (Co-advisor) with J. Marotzke, (2016), Climate dynamics of a coupled Aquaplanet

  4. J. Ackman, University Hamburg, (2016) Error Estimation Algorithms for 3D Ocean Models

  5. P. Düben, University Hamburg, (2012) Finite Element Methods, grid refinement, and boundary currents in geophysical modeling

  6. F. Rauser, University Hamburg, (2011) Error Estimation in Geophysical Fluid Dynamics through Learning, 

Postdoc Mentoring

C. Mehlmann, 2019-2022

V. Singh, 2019-2022

A. Vlasenko, 2010-2012

V. Aizinger, 2009-2011

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