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Peter Munch is a Professor at the Technical University of Berlin, specializing in Numerical Methods for Partial Differential Equations. His research focuses on the development and implementation of algorithms for the approximation of solutions to partial differential equations using computational methods. His work spans a wide range of theoretical properties of algorithms and their efficient implementation. He has a special emphasis on discontinuous finite element methods and finite volume methods, often applied to simulate gas flows and convection-dominant flows. Munch is also known for his innovative use of cut-cell methods to accurately simulate flows around complex geometries, enabling realistic physical modeling of flow processes such as air and water dynamics. Munch's team is committed to advancing the field of Computational Science and Engineering, as recognized by his receipt of the SIAM/ACM Prize. He aims to bridge mathematics and computer science, unlocking the potential to model various physical laws through mathematical frameworks. His research also facilitates the investigation of theoretical properties and practical applications in engineering and applied mathematics.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.