Nick Wulbusch

Developing numerical methods for time-harmonic acoustic simulations Working on Krylov-based model order reduction methods for frequency-dependent acoustic systems Contributing to research proposals and project planning in computational acoustics Supervising students and supporting teaching in numerical analysis, optimization, and mathematical modelling Held a teaching assignment as lecturer for the course Optimisation

Developed FEM-based numerical methods for acoustic simulation and parameter-dependent PDE models Worked on Bayesian parameter identification and uncertainty quantification Implemented numerical methods mainly in MATLAB Completed PhD thesis: Numerical methods for parametric PDE models in time-harmonic acoustics Published peer-reviewed research in scientific computing and acoustics

Topic: “Numerical methods for parametric PDE models in time-harmonic acoustics”

incl. Semester abroad at University of Wyoming, August - December 2016