Markus Wess

Publications

Curriculum Vitae

Profile

Computational Scientist with a PhD in Numerical Mathematics, specializing in PDE-based modeling, finite element methods, and high-performance scientific computing. Experienced in developing scalable C++/Python software for numerical simulation of physical problems, particularly electromagnetic wave propagation.

Technical Skills

Programming
Python, C++, MATLAB
Methods
Finite Element Methods, Numerical Linear Algebra, Geometric Modeling, Meshing
Algorithms
Iterative Solvers, Eigenvalue Solvers, Krylov Methods, Time-Stepping Methods
Tools
Git, Linux/Unix environments, Profiling
Libraries
NGSolve, Netgen, OCC, PETSc, NumPy, SciPy, Pandas

Professional Experience

Postdoctoral Researcher

2022–Present
TU Wien, Institute of Analysis and Scientific Computing
Vienna, Austria

Postdoctoral Researcher

2020–2022
ENSTA / INRIA-funded research project
Paris, France

Research Associate (PhD Researcher)

2014–2020
TU Wien, Institute of Analysis and Scientific Computing
Vienna, Austria

Education

2014–2020
PhD in Computational Mathematics
TU Wien, Vienna, Austria
Thesis: Numerical methods for wave propagation and finite element simulation.
2011–2014
MSc in Technical Mathematics
TU Wien, Vienna, Austria
Focus on applied mathematics, numerical analysis, and scientific computing.
2007–2011
BSc in Technical Mathematics
TU Wien, Vienna, Austria

Selected Publications

Complete publication list →

Teaching & Scientific Communication

Languages

German
Native
English
Fluent (written and spoken)
French
Basic
Russian
Basic

Personal Interests

Sports
Long-distance running (regional and national competition level), ultra-cycling
Music
Trumpet, guitar, piano

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